YuanchenBei / Awesome-Graph-Structure-LearningLinks
A curated list of papers on graph structure learning (GSL).
☆50Updated 10 months ago
Alternatives and similar repositories for Awesome-Graph-Structure-Learning
Users that are interested in Awesome-Graph-Structure-Learning are comparing it to the libraries listed below
Sorting:
- A collection of papers on Graph Structural Learning (GSL)☆56Updated last year
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆120Updated last year
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆86Updated 11 months ago
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆87Updated last year
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆82Updated 5 months ago
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆47Updated 10 months ago
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆45Updated 3 years ago
- A Survey of Learning from Graphs with Heterophily☆152Updated 8 months ago
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆236Updated last year
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆42Updated last year
- [NeurIPS'24] The source code for "Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning".☆31Updated 9 months ago
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆34Updated last year
- A curated list of papers on graph transfer learning (GTL).☆18Updated 2 years ago
- Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs☆64Updated last year
- A curated list of papers and code related to class-imbalanced learning on graphs (CILG).☆43Updated 9 months ago
- A repository contains a collection of resources and papers on Imbalance Learning On Graphs☆92Updated 5 months ago
- Awesome literature on imbalanced learning on graphs☆75Updated last year
- Papers about out-of-distribution generalization on graphs.☆167Updated 2 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
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆143Updated 2 years ago
- ☆59Updated last year
- Accompanied repositories for our paper Graph foundation model☆227Updated last year
- [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.☆167Updated this week
- ☆186Updated last year
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆33Updated last year
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆43Updated 2 years ago
- A collection of papers and resources about Data-centric Graph Machine Learning (DC-GML).☆46Updated 2 years ago
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆120Updated 2 years ago
- ☆60Updated 3 years ago
- [WWW2024 Oral] "Graph Out-of-Distribution Generalization via Causal Intervention”.☆27Updated last year