Popular GitHub Repositories for Network Embedding

A distributed graph deep learning framework.

GraphVite: A General and High-performance Graph Embedding System

Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

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

Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications

A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"

SMORe: Modularize Graph Embedding for Recommendation

Officially Accepted to IEEE Transactions on Medical Imaging (TMI, IF: 11.037) - Special Issue on Geometric Deep Learning in Medical Imaging.

A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, ? Best Student Paper Award)

Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)

Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"

Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on Deep Graph Library (DGL)

Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).

A PyTorch Geometric implementation of SimGNN with some extensions.

Node Embeddings in Dynamic Graphs

[CIKM 2021] Official code of "DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network"

OpenANE: the first Open source framework specialized in Attributed Network Embedding. The related paper was accepted by Neurocomputing. https://doi.org/10.1016/j.neucom.2020.05.080

Code used in the paper "ENERO: Efficient real-time WAN routing optimization with Deep Reinforcement Learning". In this paper, the DRL agent is implemented with the PPO algorithm

Facilitating learning, using, and designing graph processing pipelines/models systematically.

SDG: A Simplified and Dynamic Graph Neural Network, SIGIR 2021