diff --git a/(p,t) compression/LICENSE-Apache2.0 b/(p,t) compression/LICENSE-Apache2.0
new file mode 100644
index 0000000000000000000000000000000000000000..72f817fb44de8b9fd23fe71230b9dc5ccbe4ca35
--- /dev/null
+++ b/(p,t) compression/LICENSE-Apache2.0	
@@ -0,0 +1,201 @@
+  Apache License
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+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
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+
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+      the terms of any separate license agreement you may have executed
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+
+      To apply the Apache License to your work, attach the following
+      boilerplate notice, with the fields enclosed by brackets "[]"
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+   Copyright [yyyy] [name of copyright owner]
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+       http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
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\ No newline at end of file
diff --git a/(p,t) compression/LICENSE-MIT.txt b/(p,t) compression/LICENSE-MIT.txt
new file mode 100644
index 0000000000000000000000000000000000000000..6d33b12db6ddfca2826f665b907b66188822c129
--- /dev/null
+++ b/(p,t) compression/LICENSE-MIT.txt	
@@ -0,0 +1,23 @@
+Copyright (c) 2012 Vladimir Keleshev, <vladimir@keleshev.com>
+
+Permission is hereby granted, free of charge, to any person
+obtaining a copy of this software and associated
+documentation files (the "Software"), to deal in the Software
+without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense,
+and/or sell copies of the Software, and to permit persons to
+whom the Software is furnished to do so, subject to the
+following conditions:
+
+The above copyright notice and this permission notice shall
+be included in all copies or substantial portions of the
+Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY
+KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE
+WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR
+PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
+COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
+OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
+SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
\ No newline at end of file
diff --git a/(p,t) compression/Notice.txt b/(p,t) compression/Notice.txt
new file mode 100644
index 0000000000000000000000000000000000000000..308703a87659a660dc3f846ee01208f5f1c44fd5
--- /dev/null
+++ b/(p,t) compression/Notice.txt	
@@ -0,0 +1,23 @@
+Neighborhood Preserving graph compression
+
+
+  all software is copyright 2021
+  Abd Errahmane Kiouche, licensed under the Apache License 2.0.
+    
+    
+    
+docopt.cpp
+
+  Copyright (c) 2012 Vladimir Keleshev, <vladimir@keleshev.com>
+  Licensed under the MIT license (see LICENSE-MIT).
+  https://github.com/docopt/docopt.cpp
+
+  Files: docopt.cpp docopt.h docopt_private.h docopt_util.h docopt_value.h
+  Modifications: Remove "#pragma mark" directives.
+  
+  
+hash
+
+    Copyright 2016 Emaad Ahmed Manzoor
+    License: Apache License, Version 2.0
+    Files : hash.h
diff --git a/(p,t) compression/graph.cpp b/(p,t) compression/graph.cpp
new file mode 100644
index 0000000000000000000000000000000000000000..5f9be2a24cc4e27f5f18f0d6cee002cca19a58d9
--- /dev/null
+++ b/(p,t) compression/graph.cpp	
@@ -0,0 +1,65 @@
+//
+// Created by Kiouche on 1/20/2020.
+//
+
+#include <unordered_map>
+#include <unordered_set>
+#include <vector>
+#include "graph.h"
+#include "hash.h"
+
+
+
+
+
+namespace  std {
+
+    vector<edge> get_edges(graph &g,bool directed){
+        vector<edge> edges;
+        unordered_set<edge> s_edges;
+        for (auto & s : g){
+            for (auto & d : s.second ){
+                edge e,r_e;
+                e.first = s.first;
+                e.second = d;
+                r_e.first = d;
+                r_e.second = s.first;
+                if(!directed) {
+                    if (s_edges.find(e) == s_edges.end()) {
+                        edges.push_back(e);
+                    }
+                }
+                else    edges.push_back(e);
+                s_edges.insert(e);
+                s_edges.insert(r_e);
+            }
+        }
+        return  edges;
+    }
+
+    bool is_it_undirected(graph &g){
+        for (auto s : g){
+            for (auto d : s.second ){
+                if ( g[d].find(s.first)==g[d].end()) return  false;
+            }
+        }
+        return  true;
+    }
+
+    unordered_set<uint32_t > intersection(unordered_set<uint32_t> &s1,unordered_set<uint32_t> &s2){
+        unordered_set<uint32_t > intersection;
+        if (s1.size()< s2.size()){
+            for (auto n :s1){
+                if (s2.find(n)!=s2.end()) intersection.insert(n);
+            }
+        }
+        else{
+            for (auto n :s2){
+                if (s1.find(n)!=s1.end()) intersection.insert(n);
+            }
+        }
+        return  intersection;
+    }
+
+
+}
\ No newline at end of file
diff --git a/(p,t) compression/graph.h b/(p,t) compression/graph.h
new file mode 100644
index 0000000000000000000000000000000000000000..fc9c71f35f04222a2a09347acc3fe4bc0dad0d4a
--- /dev/null
+++ b/(p,t) compression/graph.h	
@@ -0,0 +1,36 @@
+//
+// Created by Kiouche on 1/20/2020.
+//
+
+#ifndef P_K_COMPRESSION_GRAPH_H
+#define P_K_COMPRESSION_GRAPH_H
+#include <unordered_map>
+#include <unordered_set>
+#include <vector>
+
+
+
+
+
+namespace std{
+
+    typedef  unordered_map<uint32_t,unordered_map<int,unordered_set<uint32_t >>> node_neighbors; /// key 1 = node_id , key 2 = depth , value = nodes
+
+    typedef unordered_map<uint32_t , unordered_set<uint32_t >>  graph; /// adjacency matrix , key = node_id
+
+    typedef pair<uint32_t , uint32_t> edge;
+
+    vector<edge> get_edges(graph &g,bool directed);
+
+
+    bool is_it_undirected(graph &g);
+
+
+    unordered_set<uint32_t > intersection(unordered_set<uint32_t> &s1,unordered_set<uint32_t> &s2);
+
+
+}
+
+
+
+#endif //P_K_COMPRESSION_GRAPH_H
diff --git a/(p,t) compression/hash.h b/(p,t) compression/hash.h
new file mode 100644
index 0000000000000000000000000000000000000000..3394fd28f4de154062a068b2340960ea6a60f20c
--- /dev/null
+++ b/(p,t) compression/hash.h	
@@ -0,0 +1,43 @@
+//
+// Created by Kiouche on 1/20/2020.
+//
+
+#ifndef P_K_COMPRESSION_HASH_H
+#define P_K_COMPRESSION_HASH_H
+
+
+
+
+#include <string>
+#include <vector>
+
+namespace std {
+
+
+/* Combination hash from Boost */
+    template <class T>
+    inline void hash_combine(size_t& seed, const T& v)
+    {
+        hash<T> hasher;
+        seed ^= hasher(v) + 0x9e3779b9 + (seed << 6) + (seed >> 2);
+    }
+
+    template<typename S, typename T> struct hash<pair<S, T>>
+{
+    inline size_t operator()(const pair<S, T>& v) const
+    {
+        size_t seed = 0;
+        hash_combine(seed, v.first);
+        hash_combine(seed, v.second);
+        return seed;
+    }
+
+};
+/* End combination hash from Boost */
+
+
+
+}
+
+
+#endif //P_K_COMPRESSION_HASH_H
diff --git a/(p,t) compression/io.cpp b/(p,t) compression/io.cpp
new file mode 100644
index 0000000000000000000000000000000000000000..375bc75de8fdf88d72330115b9549131a51607c5
--- /dev/null
+++ b/(p,t) compression/io.cpp	
@@ -0,0 +1,78 @@
+//
+// Created by Kiouche on 1/20/2020.
+//
+
+#include <fstream>
+#include <iostream>
+#include <string>
+#include <sstream>
+#include <unistd.h>
+#include <vector>
+#include "graph.h"
+#include "io.h"
+#include "hash.h"
+
+namespace  std {
+
+    tuple<graph,unordered_map<edge , double>>  read_graph_from_file(string filename,bool directed) {
+
+        ifstream f(filename);
+        string line;
+        graph g;
+        unordered_map<edge , double>   edges_scores;
+        int loops = 0;
+
+        if (f.is_open()) {
+            while (getline(f, line)) {
+                uint32_t src_id, dst_id;
+                edge e,e_r;
+                double score;
+                stringstream ss;
+                ss.str(line);
+                ss >> src_id;
+                ss >> dst_id;
+                ss >> score;
+
+                if (src_id!=dst_id) {
+                    e.first = src_id ; e.second = dst_id;
+                    e_r.first = dst_id; e.second = src_id;
+                    g[src_id].insert(dst_id);
+                    if(!directed) g[dst_id].insert(src_id);
+                    edges_scores[make_pair(src_id,dst_id)] = score ;
+                   // if(!directed) edges_scores[e_r] = score;
+                }
+                else loops++;
+            }
+        } else  {
+            cout << "Unable to open " << filename << " ! \n";
+            exit(-1);
+        }
+        cout << "number of nodes = " << g.size() << endl;
+        cout << "loops = " << loops << endl;
+        return {g,edges_scores};
+    }
+
+    void graph_to_file (po::variables_map &var,double runtime, double c_rate,vector<edge> &edges){
+
+        ofstream file;
+        file.open(var["output_file"].as<string>());
+        file << "Original graph" << "\t"<< var["input"].as<string>() <<endl;
+        file << "Directed" << "\t" << to_string(var["directed"].as<bool>()) << endl;
+        file << "Depth" << "\t" << to_string(var["depth"].as<int>()) << endl;
+        vector<double> p_values = var["proportions"].as<vector<double>>();
+        int depth = var["depth"].as<int>();
+        for (int i = 0;i<=depth;i++){
+            file << "k " + to_string(i) << "\t" << to_string(p_values.at(i)) << endl;
+        }
+        file << "execution time " << "\t" << to_string(runtime) << endl;
+        file << "compression rate " << "\t" << to_string(c_rate) << endl;
+
+        file << endl;
+
+        for (auto e : edges){
+            file << e.first <<"\t"<< e.second << endl;
+        }
+        file.close();
+    }
+
+}
\ No newline at end of file
diff --git a/(p,t) compression/io.h b/(p,t) compression/io.h
new file mode 100644
index 0000000000000000000000000000000000000000..6e901a5c3cdae018c2c5f43aaa88abcd00918b09
--- /dev/null
+++ b/(p,t) compression/io.h	
@@ -0,0 +1,19 @@
+//
+// Created by Kiouche on 1/20/2020.
+//
+
+#ifndef P_K_COMPRESSION_IO_H
+#define P_K_COMPRESSION_IO_H
+#include "graph.h"
+#include <boost/program_options.hpp>
+
+namespace po = boost::program_options;
+
+
+namespace  std {
+    tuple<graph,unordered_map<edge , double>>  read_graph_from_file(string filename,bool directed);
+    void graph_to_file (po::variables_map &var,double runtime, double c_rate,vector<edge> &edges);
+
+}
+
+#endif //P_K_COMPRESSION_IO_H
diff --git a/(p,t) compression/main.cpp b/(p,t) compression/main.cpp
new file mode 100644
index 0000000000000000000000000000000000000000..ce3bc9d20300afda0857d880878610a693c7c174
--- /dev/null
+++ b/(p,t) compression/main.cpp	
@@ -0,0 +1,95 @@
+#include <iostream>
+#include <chrono>
+#include "p_k_compression.h"
+#include <boost/program_options.hpp>
+#include "graph.h"
+#include "io.h"
+#include <sstream>
+#include <string>
+#include <fstream>
+#include "hash.h"
+
+
+using  namespace std;
+namespace po = boost::program_options;
+
+
+
+int main(int argc, char *argv[]) {
+
+    srand((unsigned)time(NULL));
+
+    po::options_description desc("Allowed options");
+    desc.add_options()
+            ("help", "produce help message")
+            ("input", po::value<string>(), "graph file name")
+            ("directed", po::value<bool>()->default_value(true), "is the graph directed?")
+            ("algorithm",po::value<string>()->default_value("Random"), "The compression Algorithm")
+            ("depth",po::value<int>()->default_value(2),"the depth of the compression")
+            ("proportions",po::value<std::vector<double> >()->multitoken(),"the preserving proportions")
+            ("output_file",po::value<string>(), "the path of the compressed graph");
+
+    po::variables_map var;
+    po::store(po::parse_command_line(argc, argv, desc), var);
+    po::notify(var);
+
+    if(var.count("help")) {
+        cout << desc << "\n";
+        return 0;
+    }
+
+    if(!var.count("input")) {
+        cout << "Missing argument --input.\n";
+        return 1;
+    }
+    if(!var.count("output_file")) {
+        cout << "Missing argument --output_file.\n";
+        return 1;
+    }
+
+    graph g2;
+
+    vector<int> s ;
+    vector<double> c ;
+    // perform 30 experiments
+    for (int i =0; i<30;i++) {
+        cout << i << endl;
+        string file_name = var["input"].as<string>() + to_string(i) + ".txt";
+        double compression_rate = 0;
+        auto[g, e_s] = read_graph_from_file(file_name, var["directed"].as<bool>());
+        auto start = chrono::steady_clock::now();
+
+        if (var["algorithm"].as<string>() == "Random") {
+            g2 = compress_graph_basic(g, var["depth"].as<int>(), var["proportions"].as<vector<double>>(),
+                                      var["directed"].as<bool>());
+
+        } else if (var["algorithm"].as<string>() == "LP") {
+            g2 = compress_graph_LP(g, e_s, var["depth"].as<int>(), var["proportions"].as<vector<double>>(),
+                                var["directed"].as<bool>());
+
+        } else if (var["algorithm"].as<string>() == "SA") {
+            g2 = Simulated_annealing(1000, 10, 0.99, g, var["directed"].as<bool>(), var["depth"].as<int>(),
+                                     var["proportions"].as<vector<double>>());
+        }else if (var["algorithm"].as<string>() == "Greedy") {
+            g2 = compress_graph_greedy(g, var["depth"].as<int>(), var["proportions"].as<vector<double>>(),
+                                      var["directed"].as<bool>());
+
+        }
+
+        auto finish = chrono::steady_clock::now();
+        vector<edge> edges_original = get_edges(g, var["directed"].as<bool>());
+        vector<edge> edges_compressed = get_edges(g2, var["directed"].as<bool>());
+
+        double elapsed_time = chrono::duration_cast<chrono::duration<double>>(finish - start).count();
+        compression_rate = ((double) (edges_original.size() - edges_compressed.size()) /
+                            edges_original.size());
+         c.push_back(compression_rate);
+         s.push_back(edges_compressed.size());
+        //graph_to_file(var, elapsed_time, compression_rate, edges_compressed);
+        cout << "compression time " << elapsed_time << endl;
+        cout << "compression rate " << compression_rate << endl;
+    }
+    for (int i = 0 ; i<30;i++) cout << c.at(i) << '\t' << s.at(i) << endl;
+
+    return 0;
+}
diff --git a/(p,t) compression/p_k_compression.cpp b/(p,t) compression/p_k_compression.cpp
new file mode 100644
index 0000000000000000000000000000000000000000..e068a8a93c11c66baca87a7d605c372cc7277efd
--- /dev/null
+++ b/(p,t) compression/p_k_compression.cpp	
@@ -0,0 +1,391 @@
+//
+// Created by Kiouche on 1/20/2020.
+//
+
+#include "p_k_compression.h"
+#include <chrono>
+#include <map>
+#include <list>
+#include <iostream>
+#include <algorithm>
+#include <random>
+#include <queue>
+
+#include "hash.h"
+
+
+
+namespace std   {
+
+
+    bool test_insert(edge &e, bool directed,graph &constructed_graph,graph &compressed_graph ,int k, vector<double> &p){
+        uint32_t  first, second;
+        first = e.first;
+        second = e.second;
+        if(!directed) {
+            if (constructed_graph[e.first].size() > constructed_graph[e.second].size()) {
+                first = e.second;
+                second = e.first;
+            }
+        }
+        bool insert = BFS(first,compressed_graph,constructed_graph,p,k);
+        if ( insert){
+            return  true;
+        }
+        else if (!directed) {
+            return  BFS(second,compressed_graph,constructed_graph,p,k);
+        }
+        else return  insert;
+    }
+
+    void get_neighbors(uint32_t node, graph &g,unordered_map<int,unordered_set<uint32_t>> &neighbors,
+             int &maxDepth){
+
+        // Mark all the vertices as not visited
+        unordered_map<uint32_t , int> node_visited;
+        // Create a queue for BFS
+        deque<uint32_t> queue;
+        // array_queue *queue = new array_queue();
+        // Mark the current node as visited and enqueue it
+        node_visited[node]= 1;
+        queue.push_back(node);
+
+        int     currentDepth = 1,
+                elementsToDepthIncrease = 1,
+                nextElementsToDepthIncrease = 0;
+
+        while(!queue.empty()) {
+            // Dequeue a vertex from queue and print it
+            uint32_t s = queue.front();
+            queue.pop_front();
+            // node_visited[s] = 1;
+            for (auto &v : g[s]){
+                if (node_visited[v]==0) {
+                    nextElementsToDepthIncrease++;
+                    node_visited[v]=1;
+                    queue.push_back(v);
+                    for (int i = currentDepth; i <= maxDepth; i++) neighbors[i].insert(v);
+                }
+            }
+            if (--elementsToDepthIncrease == 0) {
+                if (++currentDepth > maxDepth) break;
+                elementsToDepthIncrease = nextElementsToDepthIncrease;
+                nextElementsToDepthIncrease = 0;
+            }
+        }
+    }
+
+    bool check_constraints(graph &original_graph,graph &compressed_graph,vector<double> p, int k){
+
+        for (auto v : original_graph){
+            unordered_map<int,unordered_set<uint32_t>> n_v;
+            get_neighbors(v.first,compressed_graph,n_v,k);
+            for (int i=1;i<= k;i++){
+                unordered_set<uint32_t> nghs = intersection( n_v[i],original_graph[v.first]);
+                if ((double) nghs.size() < v.second.size()*p.at(i)){
+                    cout << i << "---" << v.first << "    " << nghs.size() << "  "
+                         << v.second.size() << endl;
+                    return  false;
+                }
+            }
+        }
+        return true;
+    }
+
+    bool BFS(uint32_t node, graph &g,graph &constructed_graph,vector<double> &p,int &maxDepth){
+
+        unordered_map<int,unordered_set<uint32_t>> neighbors;
+        // Mark all the vertices as not visited
+        unordered_map<uint32_t , int> node_visited;
+        // Create a queue for BFS
+        deque<uint32_t> queue;
+        // Mark the current node as visited and enqueue it
+        node_visited[node]= 1;
+        queue.push_back(node);
+
+        int     currentDepth = 1,
+                elementsToDepthIncrease = 1,
+                nextElementsToDepthIncrease = 0;
+
+        while(!queue.empty()) {
+            // Dequeue a vertex from queue and print it
+            uint32_t s = queue.front();
+            queue.pop_front();
+            for (auto &v : g[s]){
+                if (node_visited[v]==0) {
+                    nextElementsToDepthIncrease++;
+                    node_visited[v]=1;
+                    queue.push_back(v);
+                    for (int i = currentDepth; i <= maxDepth; i++) neighbors[i].insert(v);
+                }
+            }
+            if (--elementsToDepthIncrease == 0) {
+                double  nb_nghrs = constructed_graph[node].size();
+                unordered_set<uint32_t> s_neighbors = intersection( neighbors[currentDepth],constructed_graph[node]);
+                if ((double) s_neighbors.size() < nb_nghrs * p.at(currentDepth)) return true;
+                if (++currentDepth > maxDepth) break;
+                elementsToDepthIncrease = nextElementsToDepthIncrease;
+                nextElementsToDepthIncrease = 0;
+            }
+        }
+        if (currentDepth <= maxDepth){
+            for (int i= currentDepth;i<=maxDepth;i++){
+                double  nb_nghrs = constructed_graph[node].size();
+                unordered_set<uint32_t> s_neighbors = intersection( neighbors[i],constructed_graph[node]);
+                if ((double) s_neighbors.size() < nb_nghrs * p.at(i)) return true;
+            }
+        }
+        return false;
+    }
+
+    graph compress_graph_LP(graph &initial_graph, unordered_map<edge,double> edges_scores, int k, vector<double> p,bool directed){
+
+        double compression_rate;
+        vector<edge> inserted_edges;
+
+        vector<pair<edge,double>> es_vec;
+
+        for ( auto & e : edges_scores ) es_vec.push_back(make_pair(e.first,e.second));
+        sort(es_vec.begin(), es_vec.end(), // sort by PL scores
+             [](const pair<edge,double> & l, const pair<edge,double>& r) {
+                 return l.second > r.second;
+             });
+        cout << es_vec.size() << endl;
+        graph compressed_graph,constructed_graph;
+        int number_edges = 0;
+        int i=0;
+        for (auto e_s : es_vec){
+            edge  e  = e_s.first;
+            if (i%10000==0) cout << i<< endl;
+            i++;
+            constructed_graph[e.first].insert(e.second);
+            if(!directed) constructed_graph[e.second].insert(e.first);
+            bool insert =test_insert(e,directed,constructed_graph,compressed_graph,k,p);
+
+            if ( insert) {
+                inserted_edges.push_back(e);
+                number_edges++;
+                compressed_graph[e.first].insert(e.second);
+                if (!directed) compressed_graph[e.second].insert(e.first);
+            }
+        }
+        cout << "number of edges " << number_edges << endl;
+        if (check_constraints(initial_graph,compressed_graph,p,k)) cout << "feasible compression!"<< endl;
+        return  compressed_graph;
+    }
+
+
+    graph compress_graph_basic(graph &initial_graph, int k, vector<double> p,bool directed){
+
+        double compression_rate;
+        vector<edge> inserted_edges;
+        vector<edge> s = get_edges(initial_graph,directed);
+        std::mt19937 g(rand());
+        std::shuffle(s.begin(), s.end(), g);
+
+        graph compressed_graph,constructed_graph;
+        int number_edges = 0;
+        int i=0;
+        for (auto e : s){
+            if (i%10000==0) cout << i<< endl;
+            i++;
+            constructed_graph[e.first].insert(e.second);
+            if(!directed) constructed_graph[e.second].insert(e.first);
+            bool insert =test_insert(e,directed,constructed_graph,compressed_graph,k,p);
+            if (insert){
+                inserted_edges.push_back(e);
+                number_edges++;
+                compressed_graph[e.first].insert(e.second);
+                if(!directed) compressed_graph[e.second].insert(e.first);
+            }
+        }
+        cout << "number of edges " << number_edges << endl;
+        if (check_constraints(initial_graph,compressed_graph,p,k)) cout << "feasible compression!"<< endl;
+        return  compressed_graph;
+    }
+
+
+    vector<edge> perturbate_solution(vector<edge> &s){
+        vector<edge> s2;
+        for (auto e : s ) s2.push_back(e);
+        int max_perturbations = 2; //s.size()/100;
+        std::mt19937 gen(rand());
+        std::uniform_int_distribution<> dis(0, s.size()-1);
+        for (int i=0;i<max_perturbations;i++){
+            int r1,r2;
+            r1 = dis(gen);
+            r2 = dis(gen);
+            edge e  = s2.at(r1);
+            s2.at(r1).first= s2.at(r2).first;
+            s2.at(r1).second= s2.at(r2).second;
+            s2.at(r2).first = e.first;
+            s2.at(r2).second = e.second;
+        }
+        return  s2;
+    }
+
+
+    tuple<double,graph> evaluate_permutation ( vector<edge> &permutation,bool directed, vector<double> &p,
+                                  int k,graph &g){
+        //double compression_rate;
+        graph compressed_graph,constructed_graph;
+        int inserted_edges = 0;
+        for (auto e : permutation){
+            // update constructed graph
+            constructed_graph[e.first].insert(e.second);
+            if (!directed) constructed_graph[e.second].insert(e.first);
+            bool insert =test_insert(e,false,constructed_graph,compressed_graph,k,p);
+            if (insert){
+                inserted_edges++;
+                compressed_graph[e.first].insert(e.second);
+                if (!directed) compressed_graph[e.second].insert(e.first);
+            }
+        }
+
+        return  make_tuple(inserted_edges,compressed_graph);
+    }
+
+
+
+    graph Simulated_annealing ( int max_iterations,
+                                        double initial_temperature,
+                                        double decrease_factor,
+                                        graph &initial_graph,
+                                        bool directed,
+                                        int k,vector<double> p){
+        auto start = chrono::steady_clock::now();
+        graph  gr;
+        vector<edge> best_permutation;
+        /// generate initial solution
+        vector<edge> s = get_edges(initial_graph,false);
+        best_permutation = s;
+        std::mt19937 g(rand());
+        std::shuffle(s.begin(), s.end(), g);
+
+        double cost_s,cost_s2,T,best;
+        T= initial_temperature;
+        cost_s = get<0> (evaluate_permutation(s,directed,p,k,initial_graph));
+        gr = get<1> (evaluate_permutation(s,directed,p,k,initial_graph));
+        best = cost_s;
+        for (int i = 0;i<max_iterations;i++){
+            vector<edge>  s2 = perturbate_solution(s);
+            cost_s2 = get<0> (evaluate_permutation(s2,directed, p,k,initial_graph));
+            if (cost_s2 < best){
+                best_permutation = s2;
+                gr = get<1> (evaluate_permutation(s2,directed,p,k,initial_graph));
+                best = cost_s2;
+                auto finish = chrono::steady_clock::now();
+                double elapsed_time= chrono::duration_cast<chrono::duration<double>>(finish - start).count();
+                //cout <<i<< '\t'<<best<< '\t' << elapsed_time << endl;
+            }
+            if (cost_s2 < cost_s){
+                s = s2;
+                cost_s = cost_s2;
+            }
+            else {
+                double r = ((double) rand() /(RAND_MAX));
+                if (std::exp( (cost_s -cost_s2) / T) > r ){
+                    s = s2;
+                    cost_s = cost_s2;
+                }
+            }
+            T = decrease_factor*T;
+        }
+
+        if ( check_constraints(initial_graph,gr,p,k)) {
+            cout << "feasible solution ! " << endl;
+        }
+
+        return  gr;
+    }
+
+
+
+
+    graph compress_graph_greedy(graph &initial_graph, int k, vector<double> p,bool directed){
+
+        double compression_rate;
+        vector<edge> inserted_edges;
+        vector<edge> s = greedy_edges_order(initial_graph,directed,k);
+
+
+        graph compressed_graph,constructed_graph;
+        int number_edges = 0;
+        int i=0;
+        for (auto e : s){
+            if (i%10000==0) cout << i<< endl;
+            i++;
+            constructed_graph[e.first].insert(e.second);
+            if(!directed) constructed_graph[e.second].insert(e.first);
+            bool insert =test_insert(e,directed,constructed_graph,compressed_graph,k,p);
+            if (insert){
+                inserted_edges.push_back(e);
+                number_edges++;
+                compressed_graph[e.first].insert(e.second);
+                if(!directed) compressed_graph[e.second].insert(e.first);
+            }
+        }
+        cout << "number of edges " << number_edges << endl;
+        if (check_constraints(initial_graph,compressed_graph,p,k)) cout << "feasible compression!"<< endl;
+        return  compressed_graph;
+    }
+
+    vector<edge> greedy_edges_order(graph &g,bool directed,int k){
+        vector<edge>  edges = get_edges(g,directed);
+        map<pair<uint32_t ,uint32_t >,int> edge_score;
+        for (auto e : edges ){
+            unordered_set<uint32_t > neighbors_u;
+            unordered_set<uint32_t> neighbors_v;
+            neighbors_u = neighbors(g,k-1,e.first,e.second);
+            neighbors_v = neighbors(g,k-1,e.second,e.first);
+            for (auto n : neighbors_u){
+                if (g[n].find(e.second)!=g[n].end()) edge_score[e]=edge_score[e]+1;
+            }
+            for (auto n : neighbors_v){
+                if (g[n].find(e.first)!=g[n].end()) edge_score[e]=edge_score[e]+1;
+            }
+        }
+        sort(edges.begin(),edges.end(),[&]( const edge &e1, const edge &e2 )
+        { return edge_score[e1] > edge_score[e2];} );
+        return  edges;
+    }
+
+
+    unordered_set<uint32_t> neighbors(graph &g,int max_depth,uint32_t u,uint32_t v){
+        unordered_set<uint32_t> nghrs;
+        // Mark all the vertices as not visited
+        unordered_map<uint32_t , int> node_visited;
+        // Create a queue for BFS
+        deque<uint32_t> queue;
+        // array_queue *queue = new array_queue();
+        // Mark the current node as visited and enqueue it
+        node_visited[u]= 1;
+        node_visited[v] = 1;
+        queue.push_back(u);
+        int     currentDepth = 1,
+                elementsToDepthIncrease = 1,
+                nextElementsToDepthIncrease = 0;
+
+
+        while(!queue.empty()) {
+            // Dequeue a vertex from queue and print it
+            uint32_t s = queue.front();
+            queue.pop_front();
+            // node_visited[s] = 1;
+            for (auto &v : g[s]){
+                if (node_visited[v]==0) {
+                    node_visited[v]=1;
+                    queue.push_back(v);
+                    nghrs.insert(v);
+                }
+            }
+            if (--elementsToDepthIncrease == 0) {
+                if (++currentDepth > max_depth) break;
+                elementsToDepthIncrease = nextElementsToDepthIncrease;
+                nextElementsToDepthIncrease = 0;
+            }
+        }
+        return  nghrs;
+    }
+
+}
\ No newline at end of file
diff --git a/(p,t) compression/p_k_compression.h b/(p,t) compression/p_k_compression.h
new file mode 100644
index 0000000000000000000000000000000000000000..5f96fdeff2c09c30e961a0106b29887327019ae9
--- /dev/null
+++ b/(p,t) compression/p_k_compression.h	
@@ -0,0 +1,57 @@
+//
+// Created by Kiouche on 1/20/2020.
+//
+
+#ifndef P_K_COMPRESSION_P_K_COMPRESSION_H
+#define P_K_COMPRESSION_P_K_COMPRESSION_H
+#include "graph.h"
+
+namespace std {
+
+
+    bool check_constraints(graph &original_graph,graph &compressed_graph,vector<double> p, int k);
+
+
+    bool BFS(uint32_t node, graph &g,graph &constructed_graph,vector<double> &p,int &maxDepth);
+
+    bool test_insert(edge &e, bool directed,graph &constructed_graph,graph &compressed_graph ,int k, vector<double> &p);
+
+    graph compress_graph_LP(graph &initial_graph, unordered_map<edge,double> edges_scores, int k, vector<double> p,bool directed);
+
+    void get_neighbors(uint32_t node, graph &g,unordered_map<int,unordered_set<uint32_t>> &neighbors,
+                       int &maxDepth);
+    graph Greedy_compression(graph &initial_graph,unordered_map<edge,double> edges_scores, int k, vector<double> p,bool directed);
+    graph compress_graph_basic(graph &initial_graph, int k, vector<double> p,bool directed);
+
+    graph random_compression_graph(graph &initial_graph,bool directed);
+
+    vector<edge> perturbate_solution(vector<edge> &s);
+
+    graph Simulated_annealing ( int max_iterations,
+                                       double initial_temperature,
+                                       double decrease_factor,
+                                       graph &initial_graph,
+                                       bool directed,
+                                       int k,vector<double> p);
+
+
+
+
+
+
+
+    tuple<double,graph> evaluate_permutation ( vector<edge> &permutation,bool directed, vector<double> &p,
+                                  int k,graph &g);
+
+
+    graph compress_graph_greedy(graph &initial_graph, int k, vector<double> p,bool directed);
+
+
+
+    unordered_set<uint32_t> neighbors(graph &g,int max_depth,uint32_t u,uint32_t v);
+    vector<edge> greedy_edges_order(graph &g,bool directed,int k);
+
+
+}
+
+#endif //P_K_COMPRESSION_P_K_COMPRESSION_H
diff --git a/LICENSE b/LICENSE
new file mode 100644
index 0000000000000000000000000000000000000000..6b468505443f1f339f919b1ecf7718480f689fca
--- /dev/null
+++ b/LICENSE
@@ -0,0 +1,201 @@
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
+
+      "License" shall mean the terms and conditions for use, reproduction,
+      and distribution as defined by Sections 1 through 9 of this document.
+
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+
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+      direction or management of such entity, whether by contract or
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+      outstanding shares, or (iii) beneficial ownership of such entity.
+
+      "You" (or "Your") shall mean an individual or Legal Entity
+      exercising permissions granted by this License.
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+      including but not limited to software source code, documentation
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+   Copyright 2021 Abd Errahmane Kiouche
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