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

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

A distributed graph deep learning framework.

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

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

CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)

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

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

A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)

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

Minimum-distortion embedding with PyTorch

Recommender Systems Paperlist that I am interested in

Deep and conventional community detection related papers, implementations, datasets, and tools.

Representation-Learning-on-Heterogeneous-Graph

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

Representation learning on dynamic graphs using self-attention networks

A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).