pygda-team / pygdaLinks
PyGDA is a Python library for Graph Domain Adaptation
☆58Updated 3 months ago
Alternatives and similar repositories for pygda
Users that are interested in pygda are comparing it to the libraries listed below
Sorting:
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆44Updated 6 months ago
- A collection of papers on Graph Structural Learning (GSL)☆54Updated last year
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆39Updated 8 months ago
- A curated list of papers on graph structure learning (GSL).☆49Updated 5 months ago
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆43Updated 2 years ago
- Rethinking Propagation for Unsupervised Graph Domain Adaptation (AAAI-24)☆15Updated 11 months ago
- [NeurIPS'24] ARC: A Generalist Graph Anomaly Detector with In-Context Learning☆24Updated 7 months ago
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆31Updated last year
- A Comprehensive Benchmark of Imbalanced Graph Learning (Accepted by ICLR 2025 Spotlight)☆9Updated 2 months ago
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆80Updated last year
- [NeurIPS'24] The source code for "Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning".☆28Updated 4 months ago
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆31Updated last year
- Resource for "A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective"☆34Updated last month
- [WWW 2023] "Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum" by Yuan Gao, Xiang Wang, Xiangnan He, Zhe…☆38Updated last year
- GFT: Graph Foundation Model with Transferable Tree Vocabulary, NeurIPS 2024.☆46Updated last month
- ☆30Updated 7 months ago
- ☆27Updated 10 months ago
- [ICML 2023] Linkless Link Prediction via Relational Distillation☆22Updated last year
- A curated list of papers on graph transfer learning (GTL).☆17Updated last year
- NeurIPS 2024 NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise☆24Updated 3 weeks ago
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆34Updated 7 months ago
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆31Updated 10 months ago
- This is the official repository for NeurIPS 2023 paper "Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First"☆15Updated last year
- The implementation for DropMessage.☆37Updated 2 years ago
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆116Updated last year
- Official Code: TheWebConf 2022 Compact Graph Structure Learning via Mutual Information Compression☆24Updated last year
- Pytorch implementation of NeurIPS-23:"Structure-free Graph Condensation (SFGC): From Large-scale Graphs to Condensed Graph-free Data"☆36Updated last year
- Official implementation of GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs☆48Updated 4 months ago
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆42Updated 2 years ago
- [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…☆60Updated 2 years ago