zetayue / CPALinks
Source code for "Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation" (IJCAI 2020)
☆17Updated last year
Alternatives and similar repositories for CPA
Users that are interested in CPA are comparing it to the libraries listed below
Sorting:
- Variational Graph Convolutional Networks☆23Updated 4 years ago
- Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)☆34Updated 4 years ago
- The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)☆46Updated 4 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆58Updated 5 years ago
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆36Updated 3 years ago
- [IJCAI 2021] A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning".☆40Updated 2 years ago
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆48Updated 3 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆37Updated 4 years ago
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆33Updated 3 years ago
- ☆29Updated 3 years ago
- Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction☆38Updated 3 years ago
- Official Code Repository for the paper "Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction" (NeurIPS 2…☆58Updated 4 years ago
- This repository summarises the open source codes of our group☆27Updated 2 years ago
- A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in …☆30Updated 3 years ago
- CGAT: Channel-aware Graph Attention Networks☆20Updated 2 years ago
- Implementation for Simple Spectral Graph Convolution in ICLR 2021☆83Updated 2 years ago
- List of Publications in Graph Contrastive Learning☆35Updated 3 years ago
- The implementation of our ICDM 2019 paper "Relation Structure-Aware Heterogeneous Graph Neural Network" RSHN.☆18Updated 4 years ago
- Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)☆54Updated 2 years ago
- ☆30Updated 2 years ago
- PyTorch code of “Out-of-Sample Representation Learning for Multi-Relational Graphs” (EMNLP 2020)☆10Updated 4 years ago
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆88Updated 3 years ago
- ☆12Updated 4 years ago
- project GCN-VAE for knowledge graphs☆16Updated 4 years ago
- Official Implementation of AdaGCN (ICLR 2021)☆62Updated 3 years ago
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Updated 4 years ago
- A collection of graph contrastive learning methods.☆18Updated 3 years ago
- Graph meta learning via local subgraphs (NeurIPS 2020)☆126Updated last year
- Pytorch implementation of differentiable group normalization (NeurIPS 2020)☆38Updated 4 years ago
- Collection of resources related with Graph Contrastive Learning.☆34Updated 4 years ago