graph2vec

A collection of important graph embedding, classification and representation learning papers with implementations.

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

A repository of pretty cool datasets that I collected for network science and machine learning research.

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

Smart contract vulnerability detection using graph neural network (DR-GCN).

An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)

A sparsity aware implementation of "Binarized Attributed Network Embedding" (ICDM 2018).