jiaqima / CopulaGNNLinks
CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks (ICLR 2021)
☆14Updated 3 years ago
Alternatives and similar repositories for CopulaGNN
Users that are interested in CopulaGNN are comparing it to the libraries listed below
Sorting:
- The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)☆46Updated 5 years ago
- Official code for the CVPR 2022 (oral) paper "OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks.…☆35Updated 3 years ago
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆67Updated 3 years ago
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆36Updated 4 years ago
- Variational Graph Convolutional Networks☆23Updated 5 years ago
- Official PyTorch Implementation of "Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs". NeurIPS 2020.☆55Updated 4 years ago
- Source code for "Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation" (IJCAI 2020)☆17Updated last year
- A Flexible Generative Framework for Graph-based Semi-supervised Learning (NeurIPS 2019)☆16Updated 4 years ago
- Official Implementation of AdaGCN (ICLR 2021)☆63Updated 3 years ago
- (ICLR 2022) Discovering Invariant Rationales for Graph Neural Networks☆132Updated 2 years ago
- Github page for the paper "Variational Recurrent Neural Networks for Graph Classification" presented at the RLGM workshop of ICLR 2019☆13Updated 5 years ago
- Source code for "Distilling Knowledge From Graph Convolutional Networks", CVPR'20☆58Updated 2 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆58Updated 5 years ago
- Uncertainty Aware Semi-Supervised Learning on Graph Data☆39Updated 4 years ago
- PyTorch Implementation for "Meta Propagation Networks for Graph Few-shot Semi-supervised Learning" (AAAI2022)☆29Updated 3 years ago
- Official Code of Decoupled Graph Convolution (DGC)☆16Updated 4 years ago
- Source code for PairNorm (ICLR 2020)☆79Updated 5 years ago
- Source code of GResNet☆17Updated 5 years ago
- ☆24Updated last year
- AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators (AAAI 2022)☆48Updated 3 years ago
- ☆30Updated 2 years ago
- Spectral Graph Attention Network with Fast Eigen-approximation☆12Updated 4 years ago
- Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)☆53Updated last week
- Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022☆40Updated 3 years ago
- Code for "Explainability methods for graph convolutional neural networks" - PE Pope*, S Kolouri*, M Rostami, CE Martin, H Hoffmann (CVPR …☆34Updated 2 months ago
- ☆26Updated 2 years ago
- ☆36Updated 3 years ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Updated 4 years ago
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆33Updated 4 years ago
- [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…☆62Updated 3 years ago