Hyperbolic Graph Convolutional Networks in PyTorch.

GraphMAE: Self-supervised Masked Graph Autoencoders

The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)

Code for A Sequential Neural Information Diffusion Model with Structure Attention (CIKM 2018)

Topological Recurrent Neural Network for Diffusion Prediction

Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction

Implementation of AAAI22 paper: MS-HGAT: Memory-enhanced Sequential Hypergraph Attention Network for Information Diffusion Prediction

TKDE 2022. CCCL: Contrastive Cascade Graph Learning.

Variational Graph Recurrent Neural Networks - PyTorch

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

Graphormer is a general-purpose deep learning backbone for molecular modeling.

Knowledge Graph Attention Network

[TKDE 2022] The source code of "Dynamic Graph Neural Networks for Sequential Recommendation"