iMoonLab / DeepHypergraphLinks
A pytorch library for graph and hypergraph computation.
☆811Updated 3 months ago
Alternatives and similar repositories for DeepHypergraph
Users that are interested in DeepHypergraph are comparing it to the libraries listed below
Sorting:
- Hypergraph Neural Networks (AAAI 2019)☆813Updated 3 years ago
- A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dataset and Hypergraph Tool.☆307Updated 10 months ago
- DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"☆276Updated 3 years ago
- GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22☆561Updated 2 years ago
- ☆118Updated 4 years ago
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆596Updated 4 years ago
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆959Updated last year
- Papers about explainability of GNNs☆773Updated this week
- Source code of IEEE TPAMI 2024 "Hypergraph Isomorphism Computation"☆26Updated last year
- Papers about graph transformers.☆917Updated 8 months ago
- This repository implements variational graph auto encoder by Thomas Kipf.☆420Updated 4 years ago
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆275Updated 2 years ago
- NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs☆212Updated 5 years ago
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆618Updated last year
- Hyperbolic Graph Convolutional Networks in PyTorch.☆657Updated last year
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆880Updated last year
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,064Updated 2 years ago
- This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.☆945Updated 2 months ago
- Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.☆336Updated 2 years ago
- ☆336Updated last year
- Advances on machine learning of graphs, covering the reading list of recent top academic conferences.☆228Updated 2 weeks ago
- Deep and conventional community detection related papers, implementations, datasets, and tools.☆543Updated 3 months ago
- Bag of Tricks for Graph Neural Networks.☆299Updated last year
- Recipe for a General, Powerful, Scalable Graph Transformer☆806Updated last year
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆674Updated 2 years ago
- Archive of Temporal Knowledge Reasoning in Social Network and Knowledge Graph☆455Updated 2 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆678Updated 3 years ago
- Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).☆691Updated 6 months ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆338Updated last year
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆265Updated last year