THUMNLab / awesome-graph-oodLinks
Papers about out-of-distribution generalization on graphs.
☆168Updated 2 years ago
Alternatives and similar repositories for awesome-graph-ood
Users that are interested in awesome-graph-ood are comparing it to the libraries listed below
Sorting:
- A repository contains a collection of resources and papers on Imbalance Learning On Graphs☆95Updated 8 months ago
- The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"☆92Updated 3 years ago
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆38Updated 2 years ago
- A collection of papers on Graph Structural Learning (GSL)☆58Updated 2 years ago
- Schedule for learning on graphs seminar☆109Updated 2 years ago
- Awesome literature on imbalanced learning on graphs☆74Updated last year
- ☆63Updated 3 years ago
- [ICML2022] G-Mixup: Graph Data Augmentation for Graph Classification☆104Updated last year
- Published papers focusing on graph domain adaptation, with survey paper online as Domain Adaptation for Graph Representation Learning: Ch…☆53Updated 9 months ago
- ☆58Updated last year
- GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]☆206Updated 11 months ago
- Paper List for Fair Graph Learning (FairGL).☆144Updated last year
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆50Updated last year
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆121Updated 2 years ago
- [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.☆173Updated last year
- ☆186Updated last year
- ☆27Updated 3 years ago
- ☆60Updated last year
- Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms☆65Updated last year
- A curated list of papers on graph structure learning (GSL).☆53Updated last year
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆242Updated last year
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆53Updated 3 years ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆56Updated 2 years ago
- A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).☆212Updated last year
- The source code of SpCo☆35Updated 2 years ago
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆121Updated 2 years ago
- Benchmark☆113Updated last year
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆35Updated last year
- Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…☆258Updated 9 months ago
- [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.☆176Updated this week