iMoonLab / DHGNNLinks
DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"
☆276Updated 2 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☆212Updated 5 years ago
- ☆118Updated 4 years ago
- AM-GCN: Adaptive Multi-channel Graph Convolutional Networks☆252Updated 5 years ago
- Hypergraph Neural Networks (AAAI 2019)☆813Updated 3 years ago
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆117Updated 8 months ago
- Representation learning on dynamic graphs using self-attention networks☆306Updated 2 years ago
- ☆275Updated 3 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆338Updated last year
- ☆44Updated 4 years ago
- This repository implements variational graph auto encoder by Thomas Kipf.☆418Updated 4 years ago
- ☆99Updated 4 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆357Updated 5 years ago
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆96Updated 3 years ago
- Source code for the paper UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks (IJCAI 2021).☆71Updated 4 years ago
- ☆302Updated 3 years ago
- ☆336Updated last year
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆273Updated 2 years ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆195Updated last year
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆211Updated 2 years ago
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆596Updated 4 years ago
- Subgraph Neural Networks (NeurIPS 2020)☆202Updated 4 years ago
- An implementation of KDD paper "Graph Convolutional Networks with EigenPooling"☆50Updated 6 years ago
- ☆53Updated 6 years ago
- ☆139Updated 2 years ago
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆119Updated 3 years ago
- PyTorch implementation of Deep Attention Embedding Graph Clustering (19IJCAI) https://www.ijcai.org/Proceedings/2019/0509.pdf☆116Updated 4 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆233Updated 2 years ago
- CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…☆94Updated 3 months ago
- A pytorch library for graph and hypergraph computation.☆811Updated 3 months ago
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆38Updated last year