Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

Simple reference implementation of GraphSAGE.

Representation learning on large graphs using stochastic graph convolutions.

Implementation and experiments of graph embedding algorithms.

Testing link prediction using Node2Vec

Implementation of the node2vec algorithm.

A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).

Network Analysis in Python

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

Learn Node Embeddings from DeepWalk

DeepWalk - Deep Learning for Graphs

Tongji Data Structure Project - Social Network Links Prediction; 同济大学数据结构课程设计 - 社交网络预测