iMoonLab / DeepHypergraph
A pytorch library for graph and hypergraph computation.
☆624Updated 5 months ago
Related projects: ⓘ
- Hypergraph Neural Networks (AAAI 2019)☆666Updated 2 years ago
- A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dataset and Hypergraph Tool.☆182Updated this week
- GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22☆461Updated last year
- DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"☆238Updated last year
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆870Updated 2 months ago
- Papers about graph transformers.☆760Updated 5 months ago
- Papers about explainability of GNNs☆622Updated last week
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,546Updated 7 months ago
- ☆106Updated 3 years ago
- This repository implements variational graph auto encoder by Thomas Kipf.☆382Updated 2 years ago
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆514Updated 2 years ago
- Bag of Tricks for Graph Neural Networks.☆276Updated 2 months ago
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆548Updated 2 months ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆305Updated 4 months ago
- Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.☆870Updated 3 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆622Updated last year
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆950Updated last year
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆777Updated 8 months ago
- A curated list for awesome self-supervised learning for graphs.☆368Updated last year
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆640Updated 2 years ago
- Subgraph Neural Networks (NeurIPS 2020)☆187Updated 3 years ago
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆286Updated 6 months ago
- Source code of IEEE TPAMI 2024 "Hypergraph Isomorphism Computation"☆23Updated 7 months ago
- Recipe for a General, Powerful, Scalable Graph Transformer☆646Updated 2 months ago
- Papers about developing deep Graph Neural Networks (GNNs)☆300Updated last year
- NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs☆184Updated 4 years ago
- Graph Auto-Encoder in PyTorch☆409Updated 6 months ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆619Updated 11 months ago
- Deep and conventional community detection related papers, implementations, datasets, and tools.☆473Updated 8 months ago
- Hyperbolic Graph Convolutional Networks in PyTorch.☆587Updated last month