ICT-GIMLab / SeHGNN
☆111Updated last year
Alternatives and similar repositories for SeHGNN:
Users that are interested in SeHGNN are comparing it to the libraries listed below
- Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".☆58Updated 2 years ago
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆170Updated 11 months ago
- ☆32Updated last year
- The source code of HeCo☆161Updated 3 years ago
- codes of R-HGNN model for Heterogeneous Graph Representation Learning☆46Updated 3 years ago
- ☆95Updated 4 years ago
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆116Updated 2 years ago
- This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"☆94Updated last year
- KDD'22☆61Updated 2 years ago
- Some GNNs are implemented using PyG for node classification tasks, including: GCN, GraphSAGE, SGC, GAT, R-GCN and HAN (Heterogeneous Grap…☆134Updated last year
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆78Updated 4 months ago
- [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆79Updated 2 years ago
- MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks☆20Updated last year
- Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)☆32Updated 3 years ago
- The official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).☆44Updated last year
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆121Updated last year
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆64Updated last year
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆89Updated 3 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆137Updated 2 years ago
- Interpretable and Efficient Heterogeneous Graph Convolutional Network, IEEE TKDE 2021☆102Updated 5 months ago
- ☆76Updated 2 years ago
- Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"☆113Updated last year
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆114Updated 2 weeks ago
- Awesome literature on imbalanced learning on graphs☆75Updated 7 months ago
- A collection of papers on Graph Structural Learning (GSL)☆54Updated last year
- A Survey of Learning from Graphs with Heterophily☆129Updated last month
- code for "Self-supervised representation learning on dynamic graphs"☆27Updated 3 years ago
- ☆45Updated 2 years ago
- ☆60Updated 2 years ago
- DyHATR (ECML-PKDD 2020)☆43Updated 4 years ago