TimeLovercc / Awesome-Graph-Causal-LearningLinks
A list of Graph Causal Learning materials.
☆199Updated 6 months ago
Alternatives and similar repositories for Awesome-Graph-Causal-Learning
Users that are interested in Awesome-Graph-Causal-Learning are comparing it to the libraries listed below
Sorting:
- An awesome collection of causality-inspired graph neural networks.☆82Updated 8 months ago
- Papers about out-of-distribution generalization on graphs.☆165Updated 2 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
- ☆57Updated 3 years ago
- Discovering Invariant Rationales for Graph Neural Networks (ICLR 2022)☆130Updated 2 years ago
- [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.☆170Updated last year
- ☆60Updated 2 years ago
- Paper List for Fair Graph Learning (FairGL).☆140Updated 10 months ago
- "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022☆184Updated last year
- A collection of papers on Graph Structural Learning (GSL)☆55Updated last year
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆142Updated 2 years ago
- Code for paper https://arxiv.org/abs/2102.13186☆43Updated 4 years ago
- A curated list of papers on graph structure learning (GSL).☆49Updated 7 months ago
- [WWW2024 Oral paper] "Graph Out-of-Distribution Generalization via Causal Intervention”.☆26Updated 9 months ago
- ☆46Updated last year
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆116Updated last year
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆81Updated 4 years ago
- The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"☆91Updated 2 years ago
- A curated list of papers and code related to class-imbalanced learning on graphs (CILG).☆40Updated 6 months ago
- Awesome literature on imbalanced learning on graphs☆75Updated 10 months ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆55Updated 2 years ago
- A curated list of publications and code about data augmentaion for graphs.☆63Updated 3 years ago
- Schedule for learning on graphs seminar☆109Updated last year
- ☆26Updated 3 years ago
- Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction☆70Updated 2 years ago
- Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms☆63Updated last year
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆118Updated last year
- A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Informati…☆67Updated last year
- A curated list of graph data augmentation papers.☆312Updated last year
- ☆24Updated 3 years ago