haoyfan / HeteHG-VAELinks
Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)
☆32Updated 3 years ago
Alternatives and similar repositories for HeteHG-VAE
Users that are interested in HeteHG-VAE are comparing it to the libraries listed below
Sorting:
- ☆115Updated last year
- KDD'22☆64Updated 2 years ago
- The source code of HeCo☆168Updated 3 years ago
- Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".☆63Updated 2 years ago
- ☆47Updated last year
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆85Updated 9 months ago
- ☆38Updated 3 years ago
- MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks☆21Updated last year
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆143Updated 2 years ago
- A pytorch implementation of H2GCN raised in the paper "Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Desig…☆39Updated 2 years ago
- [WSDM 2022] Efficient Graph Convolution for Joint Node Representation Learning and Clustering☆19Updated last year
- [TNNLS 2022] Code for "Learning Disentangled Graph Convolutional Networks Locally and Globally"☆19Updated last year
- ☆75Updated 2 years ago
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆65Updated last year
- Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"☆114Updated 2 years ago
- This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"☆100Updated 2 years ago
- The code of "Attribute and Structure preserving Graph Contrastive Learning" (AAAI 2023 oral)☆20Updated 5 months ago
- The official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).☆45Updated last year
- Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"☆59Updated 4 years ago
- ☆97Updated 4 years ago
- PyTorch implementation of "Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials."☆19Updated 7 months ago
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆116Updated 5 months ago
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆176Updated last year
- Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometri…☆23Updated 2 years ago
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆118Updated 3 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆81Updated 4 years ago
- This project involves the code and supplementary materials of paper "Node Representation Learning in Graph via Node-to-Neighbourhood Mutu…☆34Updated 2 years ago
- ☆34Updated 2 years ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆55Updated 2 years ago
- Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction. KDD2020☆30Updated 4 years ago