A curated list of awesome graph structure learning approaches
☆42Nov 24, 2024Updated last year
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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆124Feb 29, 2024Updated 2 years ago
- PyTorch implementation of GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks☆36Jun 28, 2023Updated 3 years ago
- [SIGKDD 2024] Rethinking Fair Graph Neural Networks from Re-balancing☆10Jul 15, 2024Updated 2 years ago
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆38Aug 8, 2024Updated last year
- A collection of papers and resources about Data-centric Graph Machine Learning (DC-GML).☆45Nov 1, 2023Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆26Oct 16, 2023Updated 2 years ago
- [ICML'24] BAT: 🚀 Boost Class-imbalanced Node Classification with <10 lines of Code | 从拓扑视角出发10行代码改善类别不平衡节点分类☆28Nov 27, 2024Updated last year
- Code for TNNLS paper "Homophily-Enhanced Self-supervision for Graph Structure Learning: Insights and Directions"☆15Feb 27, 2024Updated 2 years ago
- A collection of papers on Graph Structural Learning (GSL)☆57Jan 8, 2024Updated 2 years ago
- A Comprehensive Benchmark of Imbalanced Graph Learning (Accepted by ICLR 2025 Spotlight)☆17Apr 17, 2025Updated last year
- Code of the all the data augmentation [ Based on our survey, that will soon be published ]☆10Jul 5, 2023Updated 3 years ago
- This is the official repository for NeurIPS 2023 paper "Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First"☆17Oct 27, 2023Updated 2 years ago
- the code of MoG☆22Aug 6, 2024Updated last year
- Source code for the paper 'Uncovering Neural Scaling Laws in Molecular Representation Learning' (NeurIPS 2023 Datasets and Benchmarks).☆14Dec 2, 2023Updated 2 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Graph revised convolutional network (ECML-PKDD 2020)☆17Oct 14, 2020Updated 5 years ago
- A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).☆215Dec 31, 2024Updated last year
- A curated list of papers on graph transfer learning (GTL).☆19Oct 23, 2023Updated 2 years ago
- The code for "SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization"☆15Mar 10, 2023Updated 3 years ago
- ☆18May 3, 2024Updated 2 years ago
- The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Langua…☆73Oct 28, 2024Updated last year
- ☆183Jan 8, 2025Updated last year
- Benchmark☆119Apr 9, 2024Updated 2 years ago
- ☆15Dec 28, 2023Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- An Open and Unified Benchmark for Graph Condensation (submitted to NeurIPS 2024 Datasets and Benchmarks Track)☆20Aug 15, 2024Updated last year
- [NeurIPS '24] Code repo for the paper entitled "Learning Structured Representations with Hyperbolic Embeddings" at NeurIPS 2024☆24Jan 22, 2025Updated last year
- Accompanied repositories for our paper Graph foundation model☆239Nov 11, 2024Updated last year
- UGRoadUpd: An unchanged-guided road updating framework based on remotely sensed imagery☆12Mar 15, 2023Updated 3 years ago
- A Survey of Learning from Graphs with Heterophily☆169Feb 28, 2025Updated last year
- ☆38Aug 23, 2024Updated last year
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆254May 18, 2024Updated 2 years ago
- Papers about large graph models.☆292Mar 24, 2024Updated 2 years ago
- Official implementation of paper "GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfe…☆18Jan 27, 2024Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- [AAAI24] Learning Invariant Inter-pixel Correlations for Superpixel Generation☆14Mar 27, 2024Updated 2 years ago
- ☆21Jun 13, 2023Updated 3 years ago
- Implementation for "Change Event Dataset for Discovery from Spatio-temporal Remote Sensing Imagery"☆17Aug 9, 2022Updated 3 years ago
- GraphAny: Fully-inductive Node Classification on Arbitrary Graphs☆159Feb 3, 2025Updated last year
- Awesome literature on imbalanced learning on graphs☆77Sep 11, 2024Updated last year
- ☆19Feb 28, 2023Updated 3 years ago
- [NeurIPS'23] Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling. Haotao Wang, Ziyu Jiang, Yuning Y…☆59Dec 10, 2023Updated 2 years ago