iMoonLab / DHGNNLinks
DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"
☆277Updated 3 years ago
Alternatives and similar repositories for DHGNN
Users that are interested in DHGNN are comparing it to the libraries listed below
Sorting:
- NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs☆214Updated 5 years ago
- ☆119Updated 4 years ago
- AM-GCN: Adaptive Multi-channel Graph Convolutional Networks☆252Updated 5 years ago
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆117Updated 9 months ago
- ☆101Updated 4 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆343Updated last year
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆95Updated 3 years ago
- Source code for the paper UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks (IJCAI 2021).☆71Updated 4 years ago
- ☆46Updated 4 years ago
- Hypergraph Neural Networks (AAAI 2019)☆823Updated 3 years ago
- Representation learning on dynamic graphs using self-attention networks☆307Updated 2 years ago
- ☆276Updated 3 years ago
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆121Updated 3 years ago
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆181Updated last year
- AAAI'21: Data Augmentation for Graph Neural Networks☆196Updated last year
- This repository implements variational graph auto encoder by Thomas Kipf.☆421Updated 4 years ago
- ☆301Updated 3 years ago
- Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"☆115Updated 2 years ago
- This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"☆103Updated 2 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆82Updated 4 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆273Updated 2 years ago
- ☆342Updated last year
- [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision☆159Updated 2 years ago
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆212Updated 2 years ago
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆39Updated last year
- CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…☆94Updated this week
- ☆139Updated 2 years ago
- ☆30Updated 4 years ago
- Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.☆44Updated 5 years ago
- Subgraph Neural Networks (NeurIPS 2020)☆203Updated 4 years ago