graph-embedding

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.

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

A distributed graph deep learning framework.

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.

[IEEE T-KDE 2026] Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

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).

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.

Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications

Minimum-distortion embedding with PyTorch

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

Recommender Systems Paperlist that I am interested in

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