iMoonLab / THU-HyperGLinks
☆118Updated 4 years ago
Alternatives and similar repositories for THU-HyperG
Users that are interested in THU-HyperG are comparing it to the libraries listed below
Sorting:
- DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"☆277Updated 3 years ago
- NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs☆213Updated 5 years ago
- ☆99Updated 4 years ago
- Source code for the paper UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks (IJCAI 2021).☆71Updated 4 years ago
- An implementation of KDD paper "Graph Convolutional Networks with EigenPooling"☆50Updated 6 years ago
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆117Updated 9 months ago
- Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.☆44Updated 5 years ago
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆96Updated 3 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆143Updated 3 years ago
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆121Updated 3 years ago
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆38Updated last year
- Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.☆63Updated 2 years ago
- Some GNNs are implemented using PyG for node classification tasks, including: GCN, GraphSAGE, SGC, GAT, R-GCN and HAN (Heterogeneous Grap…☆143Updated 2 years ago
- Xiangguo Sun et al. Heterogeneous Hypergraph Embedding for Graph Classification, WSDM2021☆31Updated 6 months ago
- A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dataset and Hypergraph Tool.☆311Updated 10 months ago
- This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"☆104Updated 2 years ago
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆182Updated last year
- AM-GCN: Adaptive Multi-channel Graph Convolutional Networks☆252Updated 5 years ago
- ☆77Updated 4 years ago
- ☆38Updated 4 years ago
- CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…☆94Updated 4 months ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆61Updated 4 years ago
- ☆44Updated 4 years ago
- KDD'22☆64Updated 3 years ago
- ☆139Updated 2 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆340Updated last year
- AAAI'21: Data Augmentation for Graph Neural Networks☆195Updated last year
- Collection of papers relating data-driven higher-order graph/networks researches.☆73Updated 3 years ago
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆91Updated last year
- Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"☆115Updated 2 years ago