usail-hkust / Awesome-Causality-Inspired-GNNsLinks
An awesome collection of causality-inspired graph neural networks.
☆77Updated 6 months ago
Alternatives and similar repositories for Awesome-Causality-Inspired-GNNs
Users that are interested in Awesome-Causality-Inspired-GNNs are comparing it to the libraries listed below
Sorting:
- [KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, X…☆90Updated last year
- A collection of papers on Graph Structural Learning (GSL)☆54Updated last year
- ☆100Updated last year
- The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"☆89Updated 2 years ago
- A list of Graph Causal Learning materials.☆196Updated 4 months ago
- Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"☆20Updated 2 years ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆82Updated 6 months ago
- ☆57Updated 6 months ago
- Paper list on GNNs + Differential Equations (ODE, PDE, SDE)☆25Updated last week
- ☆36Updated 3 years ago
- Code for paper https://arxiv.org/abs/2102.13186☆44Updated 4 years ago
- Papers about out-of-distribution generalization on graphs.☆167Updated 2 years ago
- [WWW2024 Oral paper] "Graph Out-of-Distribution Generalization via Causal Intervention”.☆25Updated 7 months ago
- [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.☆167Updated last year
- Official implementation of AAAI'22 paper "ProtGNN: Towards Self-Explaining Graph Neural Networks"☆52Updated 2 years ago
- ☆17Updated 2 weeks ago
- A Python library for graph reduction including condensation, coarsening, and sparsification.☆21Updated 2 months ago
- ☆24Updated 2 years ago
- Code for "Graph Structure Learning with Variational Information Bottleneck" published in AAAI 2022☆36Updated 3 years ago
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆29Updated 9 months ago
- A curated list of papers on graph structure learning (GSL).☆50Updated 5 months ago
- ☆48Updated 2 years ago
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆43Updated 2 years ago
- ☆18Updated 3 years ago
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆113Updated last year
- ☆60Updated 2 years ago
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆30Updated last year
- [ICML2022] G-Mixup: Graph Data Augmentation for Graph Classification☆103Updated last year
- AAAI 2024 Accept☆17Updated last year
- PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"☆39Updated last year