yaoyao-yaoyao-cell / CRCGLinks
AAAI 2024 Accept
☆17Updated last year
Alternatives and similar repositories for CRCG
Users that are interested in CRCG are comparing it to the libraries listed below
Sorting:
- Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022☆36Updated 3 years ago
- [KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, X…☆92Updated last year
- An awesome collection of causality-inspired graph neural networks.☆82Updated 9 months ago
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆68Updated 3 years ago
- Discovering Invariant Rationales for Graph Neural Networks (ICLR 2022)☆130Updated 2 years ago
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆116Updated 2 years ago
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", wh…☆89Updated last year
- the code of MoG☆19Updated last year
- Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"☆21Updated 2 years ago
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆88Updated 3 years ago
- A collection of papers on Graph Structural Learning (GSL)☆56Updated last year
- A list of Graph Causal Learning materials.☆199Updated 7 months ago
- ☆46Updated last year
- A graph transformer framework☆77Updated 3 years ago
- NeurIPS2022-Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure☆41Updated last year
- [NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dyna…☆54Updated 2 years ago
- The implementation of "Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization" (NeurIPS…☆21Updated 9 months ago
- The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"☆92Updated 2 years ago
- PyTorch Implementation of Prompt-augmented Temporal Point Process for Streaming Event Sequence, NeurIPS 2023☆14Updated last year
- How Powerful are Spectral Graph Neural Networks☆73Updated 2 years ago
- ☆100Updated last year
- A curated list of papers on graph structure learning (GSL).☆49Updated 8 months ago
- AAAI23-Directed Acyclic Graph Structure Learning from Dynamic Graphs☆10Updated 2 years ago
- [ICLR 2023 Oral] Towards Open Temporal Graph Neural Networks☆33Updated 2 years ago
- ☆56Updated 9 months ago
- A paper collection about automated graph learning☆98Updated last year
- We organize papers related to causal that published on top conferences recently. (因果领域论文分类汇总)☆89Updated 2 years ago
- Graph Structured Neural Network☆40Updated 3 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
- StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs☆24Updated last year