Graph Representation Learning

Ask about this topic

Overview

Graph representation learning studies how to turn relational data into useful representations while preserving information about connectivity, node and edge attributes, and sometimes time or geometry. Common approaches include message-passing graph neural networks, spectral and positional encodings, graph Transformers, and self-supervised methods such as contrastive learning and masked prediction. These representations support tasks including node classification, link prediction, graph comparison, clustering, and molecular or social prediction; newer work also explores higher-order structure and foundation models that transfer across graphs. A central challenge is balancing expressive, scalable models with reliable generalization across graph sizes, domains, feature types, and structural shifts, while establishing when graph structure helps beyond simpler baselines.

Latest papers

CardsList

305 papers33 papers in the last four weeks, up 3% on the four weeks before. 0.2% of all new papers.

  1. Linkify: Learning from Interface-Augmented Assembly Graphs

    Jul 1, 2026Anushrut Jignasu, Daniele GrandiGraph Representation LearningInformation Retrieval

    Iowa State University, USA · Autodesk Research, USA

  2. SAOT: Self-Supervised Continual Graph Learning with Structure-Aware Optimal Transport

    Jul 1, 2026Yuting Zhang, Yanbei Liu, Zhitao Xiao +3Graph Representation LearningGraph SSL

    School of Electronics and Information Engineering, Tiangong University, Tianjin, China · School of Life Sciences, Tiangong University, Tianjin, China · School of Electrical and Infomation Engineering, Tianjin University, Tianjin, China +1

  3. AGE: Adaptive-masking for Graph Embedding in Graph Retrieval-Augmented Generation

    Jun 30, 2026Bao Long Nguyen Huu, Atsushi HashimotoGraph Representation LearningGraph SSL

    OMRON Corporation · OMRON SINIC X Corporation

  4. Curvature-Guided Sheaf Diffusion for Unsupervised Community Detection on Heterophilic Graphs

    Jun 29, 2026Feifan WangGraph Representation LearningGraph Clustering

    School of Artificial Intelligence Xiamen Institute of Technology No. 1251, Sunban South Road, Jimei District Xiamen, Fujian 361021, China

  5. SIR: Structured Image Representations for Explainable Robot Learning

    Jun 29, 2026Paul Mattes, Jan Schwab, Jens Bosch +5Robot Policy LearningGraph Representation Learning

    Intuitive Robots Lab, Karlsruhe Institute of Technology, Germany · Robotics Institute Germany

  6. Communicability-Inspired Positional Encoding (CIPE)

    Jun 24, 2026Yipeng Zhang, Zhongtian Sun, Pietro Liò +1Graph Positional EncodingGraph Representation Learning

    Division of Mathematical Sciences, School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore 637371, Singapore · School of Computing, University of Kent, Canterbury, Kent CT2 7NZ, UK · Department of Computer Science and Technology, University of Cambridge, 15 JJ Thomson Avenue, Cambridge CB3 0FD, UK

  7. Swarm-Inspired Generation of Collective Behaviors in Graph Dynamical Systems

    Jun 23, 2026Ji Chen, Song Chen, Chengzhang Gong +2Dynamical SystemsGraph Representation Learning

    College of Control Science and Engineering, Zhejiang University, Hangzhou, 310000, Zhejiang, China. · Department of Mathematics, National University of Singapore, 10 Lower Kent Ridge Road, 119076, Singapore. · Huzhou Institute of Zhejiang University, Huzhou, 313000, Zhejiang, China. +3

  8. A Dual Edge Spatial Jacobian Image Graph for Interpretable Diabetic Retinopathy Grading

    Jun 23, 2026Inam Ullah, Imran Razzak, Shoaib JameelGraph Representation LearningDiabetic Retinopathy Grading

    University of Southampton Southampton, United Kingdom · Mohamed bin Zayed University of Artificial Intelligence Abu Dhabi, United Arab Emirates

  9. Bridge the Gaps: Heterogeneous Attributed Graph Clustering via Quaternion Representation Learning

    Jun 22, 2026Xinxi Chen, Junyang Chen, Yiqun Zhang +2Graph Structure LearningGraph Neural Networks

    School of Computer Science and Technology, Guangdong University of Technology, Guangzhou 510006, China

  10. Enhancing LLMs for Graph Tasks via Graph-aware LoRA Generation

    Jun 21, 2026Junshu Sun, Wanxing Chang, Qingming Huang +1Graph Representation LearningLow-Rank Adaptation

    State Key Lab. of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China · University of Chinese Academy of Sciences, Beijing, China · DAMO Academy, Alibaba Group, Hangzhou, China

  11. Geometry-Aware Superpixel Graph Transformer with Metadata for Skin Lesion Classification

    Jun 18, 2026Muhammad Azeem, Tanveer Hussain, Amr Ahmed +1Skin Lesion ClassificationGraph Representation Learning

    Edge Hill University, Ormskirk, Lancashire, L39 4QP, United Kingdom

  12. Boundary Embedding Shaping with Adaptive Contrastive Learning for Graph Structural Disentanglement

    Jun 18, 2026Jiaqing Chen, Zidu Yin, Yichao Cai +4Graph Representation LearningGraph Contrastive Learning

    School of Information Science and Technology, Yunnan Normal University, Kunming, China · Australian Institute for Machine Learning, Adelaide University, Adelaide, Australia · School of Computer Science and Engineering, The University of New South Wales, Sydney, Australia.

  13. SEAGAN: domain-Specific and Edge-Aware Graph Attention Network for Dynamic Plant Processes

    Jun 17, 2026Antriksh Srivastava, Soumyashree KarGraph Attention NetworksGraph Representation Learning

    Center of Studies in Resources Engineering · Indian Institute of Technology Bombay · Mumbai, India 400076

  14. RankGraph-2: Lifecycle Co-Design for Billion-Node Graph Learning in Recommendation

    Jun 16, 2026Renzhi Wu, Zikun Cui, Junjie Yang +10Graph Representation LearningGraph Construction

    Meta MRS · Meta Training Data Infra · FB Monetization

  15. Geometrical fairness in graph neural networks

    Jun 16, 2026Arturo Pérez-Peralta, Sandra Benítez-Peña, Blas Kolic +1Graph Neural NetworksGraph Representation Learning

    Department of Statistics, University Carlos III of Madrid, Spain · uc3m-Santander Big Data Institute

  16. Handling Feature Heterogeneity with Learnable Graph Patches

    Jun 16, 2026Yifei Sun, Yang Yang, Xiao Feng +4Graph Representation LearningCross-Domain Transfer Learning

    Zhejiang University Hangzhou, China · Huazhong University of Science and Technology Wuhan, China · Finvolution Group Shanghai, China

  17. LLM Features Can Hurt GNNs: Concatenation Interference on Homophilous Graph Benchmarks

    Jun 16, 2026Zhongyuan Wang, Pratyusha VemuriGraph Neural NetworksGraph Representation Learning

  18. Hierarchical Modeling of ICD Codes in EHR Foundation Models

    Jun 13, 2026Megha Thukral, Dong Gyun Kang, Rudra Pratap Singh +3Graph Representation LearningHierarchical Representation Learning

    School of Interactive Computing, Georgia Institute of Technology, Atlanta, United States · Optum AI, United States

  19. Guiding Federated Graph Recommendation with LLM-encoded knowledge

    Jun 13, 2026Thi Minh Chau Nguyen, Hien Trang Nguyen, Duc Anh Nguyen +3Federated Learning AggregationGraph Representation Learning

  20. Clustering Node Attributed Networks with Graph Neural Networks and Self Learning

    Jun 11, 2026Rodrigo de Sapienza Luna, Daniel Ratton FigueiredoGraph Neural NetworksGraph Representation Learning

    Systems Engineering and Computer Science (PESC), Federal University of Rio de Janeiro (UFRJ), Technology Center, Block H, Room 319, 68511, Cidade Universitária, Rio de Janeiro, Brazil

  21. SMGFM: Spectral Multimodal Graph Pretraining for Multimodal-Attributed Graphs

    Jun 11, 2026Zhengyu Wu, Xu Wang, Hongchao Qin +4Spectral Graph EmbeddingGraph Representation Learning

  22. GraspLLM: Towards Zero-Shot Generalization on Text-Attributed Graphs with LLMs

    Jun 10, 2026Hengyi Feng, Zeang Sheng, Meiyi Qiang +2Graph Representation LearningText-Attributed Graph Learning

    University of Electronic Science and Technology of China · Peking University · Tencent Inc +1

  23. Beyond the Golden Teacher: Enhancing Graph Learning through LLM-GNN Co-teaching

    Jun 10, 2026Zhuoyi Peng, Hanlin Gu, Lixin Fan +1Graph Representation LearningText-Attributed Graph Learning

    1The Hong Kong University of Science and Technology · 2WeBank

  24. ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs

    Jun 9, 2026Xianlin Zeng, Fan Xia, Xiangyu ChenGraph Representation LearningCross-Modal Alignment

    Postdoctoral Research Station at China RongTong Academy of Sciences Group Corporation Limited, Beijing, China · Duke University, Durham, NC, USA.

  25. OSMGraphCLIP: Learning Global Location Representations from OpenStreetMap Graphs

    Jun 6, 2026Dimitrios Michail, Eleni Saka, Ioannis Giannopoulos +1Graph Representation LearningGeospatial Foundation Models

    Harokopio University of Athens, Athens, Greece. · National Technical University of Athens, Athens, Greece. · Vienna University of Technology, Vienna, Austria. +1

  26. EssentialGIN: a new approach for gene essentiality prediction based on graph isomorphism neural networks

    Jun 5, 2026Sahar Mansouri-Rad, Zahra Narimani, Parvin Razzaghi +1Graph Representation Learning

    Department of Computer Science and Information Technology, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan 45137-66731, Iran · Endocrine Research Center, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences, Tehran, Iran

  27. The Post-GCN Decade Revisited: Curvature-Stratified Evaluation of Relational Learning

    Jun 4, 2026Shuo Wang, Xiangyu Wang, Quanxin Wang +9Graph Neural NetworksGraph Representation Learning

    University of Electronic Science and Technology of China · Tsinghua University · Western University +1

  28. Bridging the Semantic-Collaborative Gap: An Asymmetric Graph Architecture for Cold-Start Item Recommendation

    Jun 4, 2026Anh Truong, John Trenkle, Yuanbo Chen +4Cold-Start RecommendationGraph Representation Learning

    Tubi San Francisco, USA · Kumo AI San Francisco, USA

  29. Graph Set Transformer

    Jun 3, 2026Jose E. Escrig Molina, Baoquan Chen, Daniel ProbstGraph Neural NetworksGraph Representation Learning

    Bioinformatics Group Wageningen University Droevendaalsesteeg 6708 PB Wageningen The Netherlands · Department of Physics Technical University of Munich 85748 Garching Germany

  30. Hyperparameter Learning for Latent Factorization of Tensors for Representation Learning to Large-scale Dynamic Weighted Directed Network

    Jun 3, 2026Yaqian Zhan, Jialan He, Tianzhu ChenDifferential EvolutionGraph Representation Learning

    College of Computer and Information Science Southwest University Chongqing, China