Graph Transfer Learning

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15 papers2 papers in the last four weeks, down 50% on the four weeks before. 0.0% of all new papers.

  1. To Learn is to Wander: Learning Across Graphs and Tasks with Random Walks

    Oct 5, 2026Louis Tichelman, Xingyue Huang, Jinwoo Kim +1Multi-Task LearningGraph Transfer Learning

    TU Wien · AITHYRA · University of Oxford +1

  2. Signed Graph Pre-Training and Prompt Learning

    Sep 22, 2026Zihan Mei, Rong Pan, Yuzhou Chen +1Prompt LearningGraph Representation Learning

    Arizona State University · University of California, Riverside

  3. Reification as a Transferable Vocabulary: Zero-Shot Link Prediction with Vanilla GNNs

    Sep 10, 2026Camille PradelGraph Neural NetworksLink Prediction

    Matr

  4. Learning with Covariance Matrices: Principal Component Analysis Meets Learning with Graphs

    Sep 9, 2026Saurabh Sihag, Andrea Cavallo, Elvin Isufi +2Graph Neural NetworksBrain Age Prediction

    Department of Electrical and Computer Engineering at the University at Albany, SUNY, Albany, NY · Delft University of Technology, Delft, The Netherlands · Department of Electrical and Computer Engineering at the University of Rochester, Rochester, NY +1

  5. Chimaera: A Mixture-of-Graph-Experts Architecture for Cross-Task and Cross-Dataset Graph Learning

    Sep 8, 2026Jonathan Frank, David Richerby, Ansgar ScherpTransfer LearningText-Attributed Graph Learning

    University of Ulm · University of Essex

  6. Let Prompts Bridge Defense Knowledge: Transferable Graph Purification via Vulnerability-Aware GPL

    Aug 29, 2026Shuomin Xue, Jingyuan Li, Ju Jia +2Graph Prompt LearningGraph Transfer Learning

    Southeast University Nanjing, China · Nanyang Technological University Singapore, Singapore

  7. Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors

    Jul 30, 2026Neelam Akula, Surbhi Kumar, Murat Kantarcioglu +1Graph Neural NetworksLink Prediction

    Department of Mathematical Sciences, University of Texas at Dallas, Richardson, TX, USA · Department of Computer Science, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA

  8. Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization

    Jul 30, 2026Robert Jankowski, Pedro Almagro-Blanco, Marián Boguñá +2Zero-Shot LearningGraph Neural Networks

    TU Delft · University of Seville · University of Barcelona +2

  9. AgentGFM: A Graph Foundation Model with Node-Agent Information-Flow Control

    Jul 29, 2026Jingbo Cui, Jitao Zhao, Di Jin +1Graph Neural NetworksMessage Passing Neural Networks

    School of Computer Science and Technology, Tianjin University Tianjin, China

  10. Are Common Substructures Transferable? Riemannian Graph Foundation Model with Neural Vector Bundles

    Jun 2, 2026Li Sun, Zhenhao Huang, Yiding Wang +3GNN ExpressivityGeometric Representation Learning

    Beijing University of Posts and Telecommunications, Beijing, China · North China Electric Power University, Beijing, China · University of Cambridge, Cambridge, UK +1

  11. Graph Transfer Learning via Shared Latent Geometry: Theory and Applications

    May 30, 2026Tong Wu, Andrew Campbell, Anna ScaglioneZero-Shot LearningGraph Transfer Learning

    University of Central Florida, USA · Cornell University, USA

  12. When Do Graph Foundation Models Transfer? A Data-Centric Theory

    May 28, 2026Jiajun Zhu, Ying Chen, Peihao Wang +4Graph Positional EncodingGraphon Theory

    University of Texas at Austin · Arizona State University · Georgia Institute of Technology

  13. Bridging Input Feature Spaces Towards Graph Foundation Models

    May 6, 2026Moshe Eliasof, Krishna Sri Ipsit Mantri, Beatrice Bevilacqua +2Graph Representation LearningTransfer Learning

    University of Cambridge · Ben-Gurion University of the Negev · Purdue University

  14. DIB-OD: Preserving the Invariant Core for Robust Heterogeneous Graph Adaptation via Decoupled Information Bottleneck and Online Distillation

    Apr 13, 2026Yang Yan, Yunxuan Li, Qiuyan Wang +2Online Knowledge DistillationGraph Transfer Learning

    School of Information Technology and Engineering, Tianjin University of Technology and Education, Tianjin, China · School of Computer Science and Technology, Tiangong University, Tianjin, China · Department of Computer Science at University of Exeter

  15. Toward a universal foundation model for graph-structured data

    Apr 7, 2026Sakib Mostafa, Lei Xing, Md. Tauhidul IslamGraph Transfer LearningGraph Representation Learning

    Department of Radiation Oncology, Stanford University, Stanford, CA, USA · Institute of Computational and Mathematical Engineering, Stanford University, Stanford, CA, USA · Department of Electrical Engineering, Stanford University, Stanford, CA, USA