YuanchenBei / Awesome-Graph-Transfer-Learning
A curated list of papers on graph transfer learning (GTL).
☆14Updated last year
Related projects ⓘ
Alternatives and complementary repositories for Awesome-Graph-Transfer-Learning
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks ”.☆20Updated last year
- Official Code: TheWebConf 2022 Compact Graph Structure Learning via Mutual Information Compression☆24Updated 8 months ago
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆42Updated 2 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆49Updated last year
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆21Updated 3 months ago
- The Open Source Code For ICML 2023 Paper "Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-pron…☆15Updated last year
- [NeurIPS 2023] "Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift" by Yongduo Sui, Qitian Wu, Jiancan Wu, Q…☆16Updated last year
- Code for AAAI 2023 (Oral) paper "Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting it into MLPs: An Effe…☆21Updated 4 months ago
- ☆28Updated last week
- Community-aware Graph Transformer (CGT) is a novel Graph Transformer model that utilizes community structures to address node degree bias…☆12Updated 7 months ago
- A curated list of Heterophilous Graph Self-Supervised Learning papers.☆14Updated last year
- Code & data for ICLR'23 Spotlight paper "Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency".☆29Updated last year
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆33Updated last year
- Pytorch implementation of NeurIPS-23:"Structure-free Graph Condensation (SFGC): From Large-scale Graphs to Condensed Graph-free Data"☆26Updated last year
- Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"☆17Updated last year
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆28Updated 3 weeks ago
- Open Source Code for GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models (KDD'24)☆17Updated 4 months ago
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆43Updated last year
- A collection of papers on Graph Structural Learning (GSL)☆52Updated 10 months ago
- PyGDA is a Python library for Graph Domain Adaptation☆17Updated 2 months ago
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆35Updated last year
- Code for TNNLS paper "Homophily-Enhanced Self-supervision for Graph Structure Learning: Insights and Directions"☆13Updated 8 months ago
- ☆21Updated 2 years ago
- A pytorch implementation of graph transformer for node classification☆29Updated last year
- Code for "Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing"☆15Updated last year
- ☆24Updated 2 years ago
- [WSDM 2023] "Alleviating Structrual Distribution Shift in Graph Anomaly Detection" by Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, H…☆20Updated last year
- Code for GBK-GNN (paper accepted by WWW2022)☆15Updated 2 years ago
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆24Updated 5 months ago
- Ratioanle-aware Graph Contrastive Learning codebase☆39Updated last year