From d5a939296fbed5c8a6d62d9dba691835a64c34ee Mon Sep 17 00:00:00 2001 From: Ikenna Oluigbo <ikenna-victor.oluigbo@etu.univ-lyon1.fr> Date: Wed, 7 Dec 2022 03:40:33 +0000 Subject: [PATCH] Update README.md --- README.md | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/README.md b/README.md index 7dbb45e..8a7d835 100644 --- a/README.md +++ b/README.md @@ -47,11 +47,8 @@ Use the built-in continuous integration in GitLab. ## Description A scalable Framework for learning representation for network nodes, while preserving the neighborhood topology and node contextual attributes in the Learned Embedding. This method improves upon the random walk approach through a decision function, which learn quality vector representations useful for different downstream learning tasks. The probability walk builds a node corpus comprising sampled nodes with similar contextual attributes and structural patterns, which is trained using a NLP (natural language processing) technique. We evaluate the effectiveness of our model by comparing it with other baseline methods on three downstream tasks: Clustering, Link Prediction, and Node Classification. Our model shows better performance compared to these baselines. -## Badges -On some READMEs, you may see small images that convey metadata, such as whether or not all the tests are passing for the project. You can use Shields to add some to your README. Many services also have instructions for adding a badge. - ## Visuals -Depending on what you are making, it can be a good idea to include screenshots or even a video (you'll frequently see GIFs rather than actual videos). Tools like ttygif can help, but check out Asciinema for a more sophisticated method. + ## Installation The codes are written in Python 3 environment. -- GitLab