/Awesome-Transfer-Learning-on-Graph

A curated paper list about transfer learning (mainly domain adaption) on graphs. Graph transfer learning (Graph domain adaption).

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Transfer Learning / Domain Adaption on Graph

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Paper list about transfer learning (mainly domain adaption) on graphs.
Note: This repo records papers for personal needs. If you find I missed some important and exciting work, it is welcome to let me know through issues!

Table of Contents

Survey

  • [Arxiv'2023] Towards Data-centric Graph Machine Learning: Review and Outlook. [pdf]

Transfer Learning on Homogeneous Graph

  • [MM'2023] SA-GDA: Spectral Augmentation for Graph Domain Adaptation. [pdf]
  • [MM'2023] Universal Domain Adaptive Network Embedding for Node Classification. [pdf]
  • [MM'2023] ALEX: Towards Effective Graph Transfer Learning with Noisy Labels. [pdf]
  • [CIKM'2023] Improving Graph Domain Adaptation with Network Hierarchy. [pdf] [code]
  • [ICML'2023] Structural Re-weighting Improves Graph Domain Adaptation. [pdf] [code]
  • [ICLR'2023] Graph Domain Adaptation via Theory-Grounded Spectral Regularization. [pdf] [code]
  • [ICLR'2022] Graph-Relational Domain Adaptation. [pdf] [code]
  • [TKDE'2022] Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution. [pdf] [code]
  • [KDD'2021] Adaptive Transfer Learning on Graph Neural Networks. [pdf] [code]
  • [NeurIPS'2021] Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization. [pdf] [code]
  • [NeurIPS'2021] Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data. [pdf] [code]
  • [ICML'2020] Progressive Graph Learning for Open-Set Domain Adaptation. [pdf] [code]
  • [ICDM'2020] Openwgl: Open-world graph learning. [pdf] [code]
  • [AAAI'2020] Adversarial Deep Network Embedding for Cross-network Node Classification. [pdf] [code]
  • [WWW'2020] Unsupervised Domain Adaptive Graph Convolutional Networks. [pdf] [code]
  • [IJCAI'2019] DANE: Domain Adaptive Network Embedding. [pdf] [code]

Transfer Learning on Heterogeneous Graph

  • [KDD'2022] Few-shot Heterogeneous Graph Learning via Cross-domain Knowledge Transfer. [pdf]
    • Zhang, Q., Wu, X., Yang, Q., Zhang, C., & Zhang, X.
  • [NeurIPS'2022] Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge Transfer Networks. [pdf] [code]
    • Yoon, M., Palowitch, J., Zelle, D., Hu, Z., Salakhutdinov, R., & Perozzi, B.
  • [CIKM'2022] GDA-HIN: A Generalized Domain Adaptive Model across Heterogeneous Information Networks. [pdf]
    • Huang, T., Xu, K., & Wang, D.
  • [IJCAI'2020] Domain Adaptive Classification on Heterogeneous Information Networks. [pdf] [code]
    • Yang, S., Song, G., Jin, Y., & Du, L.