THUMNLab / awesome-graph-ood
Papers about out-of-distribution generalization on graphs.
☆167Updated last year
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:
- Schedule for learning on graphs seminar☆109Updated last year
- ☆61Updated 2 years ago
- ☆174Updated last year
- The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"☆87Updated 2 years ago
- A repository contains a collection of resources and papers on Imbalance Learning On Graphs☆90Updated 3 months ago
- [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.☆167Updated last year
- [ICML2022] G-Mixup: Graph Data Augmentation for Graph Classification☆103Updated last year
- Awesome literature on imbalanced learning on graphs☆76Updated 8 months ago
- Official code of "Discovering Invariant Rationales for Graph Neural Networks" (ICLR 2022)☆127Updated last year
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆211Updated 11 months ago
- GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]☆196Updated 2 months ago
- [ICLR'22] [KDD'22] [IJCAI'24] Implementation of "Graph Condensation for Graph Neural Networks"☆136Updated 6 months ago
- Published papers focusing on graph domain adaptation, with survey paper online as Domain Adaptation for Graph Representation Learning: Ch…☆42Updated 3 weeks ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆122Updated 2 years ago
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆111Updated last year
- Benchmark☆98Updated last year
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆116Updated 2 years ago
- A list of Graph Causal Learning materials.☆195Updated 3 months ago
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆257Updated 5 months ago
- Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms☆62Updated last year
- Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…☆230Updated last month
- Accompanied repositories for our paper Graph foundation model☆203Updated 6 months ago
- Code for paper https://arxiv.org/abs/2102.13186☆44Updated 4 years ago
- Paper List for Fair Graph Learning (FairGL).☆136Updated 7 months ago
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆43Updated 4 months ago
- ☆54Updated 7 months ago
- ☆127Updated last month
- ☆19Updated last month
- A Survey of Learning from Graphs with Heterophily☆138Updated 2 months ago
- A collection of papers on Graph Structural Learning (GSL)☆54Updated last year