Graph Representation Learning

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16 papers in the last 28 days · 0.3% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

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Graph Neural NetworksGraph RepresentationsHeterogeneous Graph TransformersGraph Foundation ModelMaximum Independent SetText-Attributed GraphMessage Passing Neural NetworksSubgraphs

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Period ending 2026-09-21

7 new papers

A weekly snapshot of new work published in Graph Representation Learning.

Period ending 2026-09-14

2 new papers

A weekly snapshot of new work published in Graph Representation Learning.

Period ending 2026-09-07

5 new papers

A weekly snapshot of new work published in Graph Representation Learning.

192 papers

Latest in Graph Representation Learning

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  1. Graph Learning with Spectral Connectivity Priors for Scarce Data

    Sep 23, 2026Mingxiao Liu, Bahar Oveisgharan, Bingyan Zou +3Graph Representation Learning

  2. Signed Graph Pre-Training and Prompt Learning

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

  3. Fast Graph Laplacian Estimation using Effective Resistance

    Sep 20, 2026Christoffer Kjellson, Claudio Altafini, Emma TeglingGraph LaplaciansGraph Representation Learning

  4. Repurposing Unified Topological Signatures for Graph Representation Learning

    Sep 15, 2026Sanyam Sanjay Jain, Anshika Krishnatray, Aditya Sharma +1Graph Neural NetworksGraph Representation Learning

  5. Not All Relations Are Equal: Relation-Balanced and Calibrated Graph Learning for Provenance-Based Intrusion Detection

    Sep 15, 2026Lijie Zheng, Ji He, Alessandro Brighente +2Intrusion DetectionGraph Representation Learning

  6. Multi-View Molecular Representation Learning with Hierarchical Graphs and Contextualized Fingerprints

    Sep 14, 2026Gwang-Hyeon Yun, Jong-Hoon Park, Bing Hu +3Molecular Property PredictionGraph Representation Learning

  7. GSLAD: Prototype-Regularized Graph Structure Learning for Multivariate Time Series Anomaly Detection

    Sep 14, 2026Zepeng Zhang, Fuad Khuri, Keivan Faghih Niresi +1Time-Series Anomaly DetectionAnomaly Detection

  8. Graph Matching Relaxations and Amortization for Supervised Graph Prediction

    Sep 14, 2026Federico Méndez, Paul Krzakala, Gabriel Melo +3Graph Representation LearningGromov--Wasserstein

  9. End-to-End Cell Detection via Instance-aware Graph Modeling

    Sep 14, 2026Ruochen Liu, Yalin Zheng, Jingxin Liu +5Graph Representation LearningGraph Neural Networks

  10. LiftGCN: Efficient Energy-Preserving Graph Learning via Joukowski Spectral Lifting for Finite Element Stress Prediction

    Sep 14, 2026Chen Zeng, Qiao WangFinite Element MethodGraph Representation Learning

  11. GraphFAS: A Distributed System for Automated Graph Feature Generation and Selection in Industrial Transaction Networks

    Sep 8, 2026Yice Luo, Yun Zhu, Xi Chen +7Graph Representation LearningFraud Detection

  12. Topology-induced Operators Reveal Complementary Graph Representations without Training

    Sep 8, 2026Meng Qin, Jinqiang Cui, Hongwei Zheng +2Graph Representation LearningEmbedding Dimension

  13. αα-Graph: Attention-Infused Normalizing Flow Approach to Tractable Graph Modeling

    Sep 7, 2026Thanh-Dat Truong, Sarah Alharbi, Susan Gauch +3Graph Representation LearningGraph Neural Networks

  14. When Vision Meets Graphs: A Survey on Graph Reasoning and Learning

    Sep 3, 2026Xinjian Zhao, Wei Pang, Zhixuan Yu +8Graph Representation Learning

  15. Geometry-Aware Graph Construction via Adaptive Spectral Bandwidth Control

    Sep 3, 2026Ecem Bozkurt, Antonio OrtegaKernel MethodManifold Learning Method

  16. From Euclidean to Graph-Structured Data: A Survey of Collaborative Learning

    Sep 2, 2026Rémi Bourgerie, Šarūnas Girdzijauskas, Viktoria FodorFederated Graph LearningGraph Representation Learning

  17. ToxLens: A Reproducible Graph-Learning Framework for Leakage-Aware, Uncertainty-Calibrated Molecular Toxicity Prediction

    Aug 31, 2026Magnus H. Strømme, Alex G. C. de Sá, David B. AscherToxicityDrug-Drug Interactions

  18. Decentralized Multitask Learning over Learned Task Graphs

    Aug 27, 2026Zirui Wan, Stefan VlaskiGraph Representation LearningMulti--Task Learning

  19. Difference-of-Convex Regularization for Graph Learning by Differentiable Programming

    Aug 13, 2026Liping Tao, Chee Wei TanGraph LaplaciansGraph Representation Learning

  20. Spectral Embeddings of Degree-αα Laplacians in Random Dot Product Graphs

    Aug 11, 2026John Park, Ning HaoGraph LaplaciansImage Clustering

  21. Can Graph Learning Learn Circuits?

    Aug 9, 2026Chester Tan, Moritz Lampert, Courtney Maynard +3Graph Representation LearningGraph Neural Networks

  22. ReGraph: Learning to Generate Recipe Graphs from Food Images

    Aug 7, 2026Guoshan Liu, Bin Zhu, Pengkun Jiao +3RecipeGraph Representation Learning

  23. Integrating Implicit and Explicit Relational Biases through Graph-Based Multiple Instance Learning: A Case Study in Skin Lesion Diagnosis

    Aug 6, 2026Rafał Buler, Jakub Buler, Maciej Bobowicz +1Skin Lesion ClassificationMultiple Instance Learning

  24. NodeJEPA: Structure-Conditioned Latent Prediction for Node-Level Graph Self-Supervised Learning

    Aug 5, 2026Tinghe Zhang, Jian Xu, Jiaheng Chen +3Graph Representation LearningJoint-Embedding Predictive Architectures

  25. Empowering Credit Risk Detection in Weixin Pay with Billion-Scale Deep Graph Learning

    Aug 3, 2026Xin Liu, Xiyuan Chen, Chenglong Wu +3Graph Representation LearningCredit Risk Prediction

  26. HP-JEPA: Hierarchical Partitioning for Multi-Resolution Graph Joint-Embedding Predictive Learning

    Aug 1, 2026Ruichen Xu, Jingxiang Qu, Wenhan Gao +5Graph Representation LearningJoint-Embedding Predictive Architectures

  27. What Makes Graph Unified? Principles and Generative Sliding-Window Transformer for Graph Foundation Models

    Jul 30, 2026Dongxiao He, Siqi Liu, Jitao Zhao +3Graph Foundation ModelGraph Representation Learning

  28. Guarding Organizations Against Malware Risk: A Novel Graph-Based Malware Detection Method

    Jul 29, 2026Yinan Gao, Jiarong Xu, Xiaohang Zhao +1Malware DetectionGraph Representation Learning

  29. Does Graph Compression Preserve Signal Propagation?

    Jul 25, 2026Kawshik Banerjee, Khaled Mohammed SaifuddinGraph Representation LearningContext Compression

  30. Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems

    Jul 25, 2026Youngseok Hwang, Joonsung Kwon, Geonwoo Lee +1Generalist Graph Anomaly DetectionAnomaly Detection

  31. Amortized Bayesian Causal Discovery of Extended Factor Graphs

    Jul 24, 2026Yichen Gu, Yuxuan Song, Weizhou Qian +2Causal GraphCausal Foundation Models

  32. CLARK: Closed-loop Learning for Adaptive Reasoning over Knowledge Graphs

    Jul 22, 2026Yousef Khan, Luca Gherardini, Marco Maratea +2Knowledge GraphsGraph Representation Learning

  33. Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics

    Jul 20, 2026Vignesh Tirukkonda, Gautam DasarathyGibbs MeasuresGraph Representation Learning

  34. Discrete Ricci Curvature on Protein Contact Graphs for Lightweight Fold Classification

    Jul 17, 2026Jianru ShenEmbedding DimensionRotation-Invariant Descriptors

  35. Gauge-Invariant, Parameter-Insensitive Regularization for Potential Recovery from Flow on Directed Graphs

    Jul 15, 2026Mohammad ForouheshGraph Representation LearningIll-Posed Inverse Problem

  36. A Novel Graph Fraud Detector via Grouped Attribute Completion and Confidence-Aware Contrastive Learning

    Jul 13, 2026Junpeng Wu, Ye YuanGeneralist Graph Anomaly DetectionGraph Representation Learning

  37. Distance-Preserving Embeddings in Inhomogeneous Random Graphs

    Jul 11, 2026My Le, Luana Ruiz, Souvik DharaExponential Random Graph ModelsGraph Representation Learning

  38. Conceptual Networks for Cross-Linguistic Idiomatic Expressions: A Feature-Based Graph Approach

    Jul 10, 2026Kiran Pala, Punam Silu, Luxin YuMultilingual IdiomsFigurative Language

  39. Model Agnostic Graph Prompt Learning for Crystal Property Prediction

    Jul 9, 2026Shrimon Mukherjee, Kishalay Das, Partha Basuchowdhuri +2Graph Neural NetworksGraph Representation Learning

  40. Dimensionality Reduction Meets Network Science: Sensemaking on UMAP's kNN Graph

    Jul 9, 2026Duen Horng Chau, Donghao Ren, Fred Hohman +1Dimensionality ReductionHigh-Dimensional Data

  41. EdgeRefine: Privacy-Utility Balance for Graphs via Jaccard Sampling under Edge Differential Privacy

    Jul 9, 2026Wenxiu Ding, Muzhi Liu, Zheng Yan +3Differential PrivacyGraph Representation Learning

  42. Learning AC0\mathsf{AC}^0 under Locally Sampleable Graphical Models

    Jul 9, 2026Weiming Feng, Xiongxin Yang, Yixiao Yu +1Optimal Sample ComplexitySingular Learning Theory

  43. Structure Learning on Clustered Data

    Jul 9, 2026Ryan Thompson, Matt P. Wand, Veerabhadran BaladandayuthapaniCluster StructureGraph Representation Learning

  44. path_boost: A Python Package for Interpretable Graph-Level Prediction using Path-Based Gradient Boosting

    Jul 8, 2026Claudio Meggio, Johan Pensar, Riccardo De BinGraph Representation LearningGraph Neural Networks

  45. Graph-Regularized Deep Learning for EEG-Based Emotion Recognition with Psychologically-Grounded Label Structure

    Jul 8, 2026Dongyang Kuang, Zizheng Ma, Yushan Zhang +1Emotion RecognitionGraph Representation Learning

  46. Fast Rates for Semi-Supervised Learning via Data-Augmentation Graph Regularization

    Jul 8, 2026Adam M. ObermanSemi-Supervised LearningGraph Representation Learning

  47. Eigenbasis-Independent Learnable Spectral Positional Encodings for Directed Graphs via Hermitian Block Krylov Subspaces

    Jul 8, 2026Jiaqing Xie, Yuxin WangGraph LaplaciansGraph Representation Learning

  48. EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning

    Jul 7, 2026Przemysław RolaManifold Learning MethodGeodesic

  49. Diffusion enabled Optimal Transport distances for graph matching

    Jul 7, 2026Iman Seyedi, Francesco ArchettiGraph Representation LearningGromov--Wasserstein

  50. Intuitionistic Fuzzy Graph Embedded Random Vector Functional Link with Multiview Learning

    Jul 6, 2026Vrushank Ahire, Yogesh Kumar, M. A. GanaieMulti-ViewGraph Representation Learning

  51. Graph Representation Learning of Longitudinal Medical Imaging Trajectories for Treatment Response Prediction

    Jul 6, 2026Johannes Kiechle, Richard Osuala, Daniel M. Lang +5Patient TrajectoriesGraph Representation Learning

  52. Towards Personalized Differentially Private Learning for Decentralized Local Graphs

    Jul 6, 2026Longzhu He, Peng Tang, Chaozhuo Li +5Differential PrivacyFederated Graph Learning

  53. Breaking Structural Isolation: Scalable Graph Clustering via Community-Aware Sampling and Structural Entropy

    Jul 6, 2026Jingyun Zhang, Hao Peng, Jianxin Li +2Graph Representation LearningContrastive Learning

  54. Target-Aware Interaction-Guided Reinforcement Learning for Black-Box Node Injection Attacks on Graph Neural Networks

    Jul 5, 2026Yi Lan, Ye YuanGraph Neural NetworksGraph Representation Learning

  55. Graph Classification via Network Usable Information: From Representation Evaluation to Structure Selection

    Jul 3, 2026Abdullah Shaik, Anwar SaidGraph Representation LearningMultiple Centrality Measures

  56. A Near-Linear-Time Solver for Graph pp-Laplacian Semi-Supervised Learning via Continuation in pp

    Jul 3, 2026Oren E. LivneGraph LaplaciansSemi-Supervised Learning

  57. MABLE: Masked Autoencoding with Bi-Lipschitz Decoding for Embeddings and Graph Metric Learning

    Jul 3, 2026Yaniv Shulman, Shaghayegh Akbarpour, Jack B. MuirGraph Representation LearningEmbedding Dimension

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

    Jul 1, 2026Yuting Zhang, Yanbei Liu, Zhitao Xiao +3Graph Representation LearningOptimal Transport

  59. Rethinking Generative Reconstruction Attacks against Graph Neural Network Models

    Jun 29, 2026Adebayo Keji, Sayanton DibboGraph Neural NetworksGraph Representation Learning

  60. Beyond Sparse Supervision: Diffusion-Guided Learning for Few-Shot Graph Fraud Detection

    Jun 26, 2026Liming Liu, Chao Hu, Mingfei Lu +3Generalist Graph Anomaly DetectionFraud Detection