Graph Representation Learning

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20 papers in the last four weeks, up 150% on the four weeks before. 0.2% of all new papers.

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Complementary Supervised and Self-Supervised Representations for Out-of-Distribution Graph Learning
Oct 6, 2026Qingying Hao, Zikang Chen, Chuxuan Hu +4Graph Representation Learning
ShanghaiTech University Shanghai, China · University of Illinois Urbana-Champaign Urbana, Illinois, USA · The Pennsylvania State University University Park, Pennsylvania, USA
Graph Representation via Elements of Discrete Morse and Cobordism Theories
Oct 1, 2026Jennifer Rozenblit, Chenguang Yang, Yuxin Liu +2Topology Graph Representation Learning
Department of Mathematics; University of Texas, Austin · Department of Statistics; University of California, Riverside · Department of Statistics; Virginia Tech
Higher-Order Positional Encodings for Graph Representation Learning
Oct 1, 2026Caleb Stam, Aagrim Hoysal, Sanjukta KrishnagopalGraph Representation Learning Positional Encoding
University of California, Santa Barbara
GraphMAS: A Systematic Benchmark of Multi-Agent Coordination for Graph Learning
Sep 30, 2026Jiayi Yang, Yifang Chen, Yuanfu Sun +2Multi-Agent Coordination Graph Representation Learning
New York University Shanghai · New York University · Northwestern University
TSGL: Teacher-Student Graph Learning for 3DGS Compression
Sep 29, 2026Matin Bani Saedi, Matthew Kyan, Gene CheungLarge-Scale 3D Editing Dataset Sparse-View
York University, Canada
Autoregressive Frontier Expansion: Growing Trees with Graph Machine Learning
Sep 29, 2026Umer Gupta, Saku Peltonen, Martin RitzertHigh-Fidelity 3D Generation Generative Models
Independent Researcher London, United Kingdom · ETH Zurich Zurich, Switzerland · Leipzig University Leipzig, Germany
GeoGAE: Scalable Graph-Level Autoencoding via Hyperball Cloud Representations
Sep 28, 2026Radosław Nowak, Anna Bielawska, Bogusz Stefańczyk +2Graph Representation Learning Graph Representations
Institute of Theoretical and Applied Informatics Polish Academy of Sciences · IDEAS Research Institute · Faculty of Mathematics, Informatics and Mechanics Warsaw University of Technology
HARMONIA: Interpretable Graph Learning through Mixtures of Neural Bases
Sep 27, 2026Quan D. Bui, Nguyen Do, An Nguyen Dang +3Graph Representation Learning Generalized Linear Model
Center for AI Research, VinUniversity, Hanoi, Vietnam · University of Florida, Gainesville, USA · Posts and Telecommunications Institute of Technology, Hanoi, Vietnam +1
Non-Adaptive Learning of Sparse Erdős--Rényi Graphs via Affine Splitting
Sep 27, 2026Hoang TaO(\Bar{K}\Log N)$Inhomogeneous Random Graphs
Department of Computer Science, Hanoi University of Science and Technology, Vietnam
Graph-Based Inference and Topology-Aware Multi-Agent Reinforcement Learning for Large-Scale Railway Network Management
Sep 24, 2026Giacomo Arcieri, Gregory Duthé, Christophe Muller +3Multi-Agent Reinforcement Learning Graph Representation Learning
Department of Civil, Environmental and Geomatic Engineering, ETH Zürich, Zürich, 8093, Switzerland · Department of Statistics, University of Oxford, Oxford, United Kingdom · Dept. of Civil and Environmental Engineering, The Pennsylvania State University, University Park, PA, 16802, USA +1
CacheDyG: Decoupling Temporal Propagation for Efficient Dynamic Graph Learning
Sep 22, 2026PinHeng Zong, Ye YuanTemporal Graph Neural Networks Graph Representation Learning
College of Computer and Information Science, Southwest University, Chongqing, China
Signed Graph Pre-Training and Prompt Learning
Sep 22, 2026Zihan Mei, Rong Pan, Yuzhou Chen +1Graph Representation Learning Persistent Homology
Arizona State University · University of California, Riverside
Repurposing Unified Topological Signatures for Graph Representation Learning
Sep 15, 2026Sanyam Sanjay Jain, Anshika Krishnatray, Aditya Sharma +1Graph Representation Learning Graph Neural Networks
BITS Pilani, India
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 Detection Graph Representation Learning
School of Computer Science and Technology, Xidian University, Xi’an, China · Department of Mathematics, University of Padova, Padova, Italy · School of Science and Technology, Örebro University, Örebro, Sweden
GSLAD: Prototype-Regularized Graph Structure Learning for Multivariate Time Series Anomaly Detection
Sep 14, 2026Zepeng Zhang, Fuad Khuri, Keivan Faghih Niresi +1Time-Series Anomaly Detection Graph Representation Learning
Intelligent Maintenance and Operations Systems (IMOS) Lab École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
Graph Matching Relaxations and Amortization for Supervised Graph Prediction
Sep 14, 2026Federico Méndez, Paul Krzakala, Gabriel Melo +3Graph Representation Learning Fused Sinkhorn-Localized Similarity
LTCI, Télécom Paris · Institut Polytechnique de Paris · CMAP, École Polytechnique
End-to-End Cell Detection via Instance-aware Graph Modeling
Sep 14, 2026Ruochen Liu, Yalin Zheng, Jingxin Liu +5Cells Graph Representation Learning
Faculty of Science and Engineering, University of Liverpool, Liverpool, L69 3GJ, U.K. · Department of Eye and Vision Sciences, University of Liverpool, Liverpool, L7 8TX, U.K. · School of AI and Advanced Computing, Xi’an Jiaotong-Liverpool University, Suzhou, 215400, China +3
LiftGCN: Efficient Energy-Preserving Graph Learning via Joukowski Spectral Lifting for Finite Element Stress Prediction
Sep 14, 2026Chen Zeng, Qiao WangFinite Element Method Graph Representation Learning
School of Information Science and Engineering, Southeast University · School of Economics and Management, Southeast University
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 Learning Fraud Detection
Ant Group Hangzhou, China · Nanjing University Nanjing, China
Topology-induced Operators Reveal Complementary Graph Representations without Training
Sep 8, 2026Meng Qin, Jinqiang Cui, Hongwei Zheng +2Graph Representation Learning Hierarchical
Department of Strategic & Advanced Interdisciplinary Research, Pengcheng Laboratory (PCL), Shenzhen, Guangdong, China. · Beijing Academy of Blockchain and Edge Computing, Beijing, China. · LMIB, NLSDE, and School of Artificial Intelligence, Beihang University, Beijing, China. +1
$α$ -Graph: Attention-Infused Normalizing Flow Approach to Tractable Graph Modeling
Sep 7, 2026Thanh-Dat Truong, Sarah Alharbi, Susan Gauch +3Graph Representation Learning Graph Neural Networks
CVIU Lab, Dep. of EECS University of Arkansas · Dep. of Electrical and Computer Engineering Carnegie Mellon University · Dep. of EECS2026 University of Arkansas +1
When Vision Meets Graphs: A Survey on Graph Reasoning and Learning
Sep 3, 2026Xinjian Zhao, Wei Pang, Zhixuan Yu +8Graph Representation Learning
The Chinese University of Hong Kong, Shenzhen · University of Waterloo · Institute of Automation, Chinese Academy of Sciences +1
From Euclidean to Graph-Structured Data: A Survey of Collaborative Learning
Sep 2, 2026Rémi Bourgerie, Šarūnas Girdzijauskas, Viktoria FodorFederated Graph Learning Graph Representation Learning
School of Electrical Engineering and Computer Science, and Digital Futures KTH Royal Institute of Technology Stockholm, Sweden
MUGEN: Generating Unlearnable Graph Examples for Multiple Learning Tasks
Sep 1, 2026Ziyan Liu, Chengshuai Zhao, Huan LiuUnlearnable Examples Graph Representation Learning
Harrisburg University of Science and Technology Harrisburg, Pennsylvania, USA · Arizona State University Tempe, Arizona, USA
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. AscherAbsorption, Distribution, Metabolism, And Excretion Toxicity
The Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Queensland, 4072, Australia · Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria, 3004, Australia
Effective Graph and Rank-based Contextual Embeddings for Textual and Multimedia Data
Aug 29, 2026Thiago César Castilho Almeida, Gustavo Rosseto Letício, Lucas Pascotti Valem +2Graph Representation Learning Convolutional Neural Networks
Department of Statistics, Applied Math. and Computing, State University of S˜ao Paulo (UNESP), Rio Claro, Brazil · Institute of Mathematical Sciences and Computing, University of S˜ao Paulo (USP), S˜ao Carlos, Brazil · Department of Computer Science, University of Manchester, Manchester, United Kingdom +1
Decentralized Multitask Learning over Learned Task Graphs
Aug 27, 2026Zirui Wan, Stefan VlaskiGraph Representation Learning Decentralized Learning
Department of Electrical and Electronic Engineering, Imperial College London, UK
Enhancing Distance-Based Graph Autoencoders with Structural Penalties for Dynamic Graph Embedding
Aug 19, 2026Aleksandar Tomčić, Miloš Savić, Miloš RadovanovićGraph Representation Learning
Department of Mathematics and Informatics, Faculty of Sciences, University of Novi Sad, Serbia Trg Dositeja Obradovi´ca 4, 21000 Novi Sad, Serbia
Difference-of-Convex Regularization for Graph Learning by Differentiable Programming
Aug 13, 2026Liping Tao, Chee Wei TanGraph Laplacians Graph Representation Learning
College of Computing and Data Science, Nanyang Technological University, Singapore 639798
Can Graph Learning Learn Circuits?
Aug 9, 2026Chester Tan, Moritz Lampert, Courtney Maynard +3Graph Representation Learning Graph Neural Networks
Chair of Machine Learning for Complex Networks Center for AI and Data Science (CAIDAS) Julius-Maximilians-Universität Würzburg · Khoury College of Computer Sciences Northeastern University · Network Science Institute Northeastern University
Rethinking Learning-Based Influence Maximization: Simple Neural Surrogates and Native Discrete Search
Aug 9, 2026Yiqiao Liao, Parinaz NaghizadehInfluence Function Graph Representation Learning
UC San Diego
ReGraph: Learning to Generate Recipe Graphs from Food Images
Aug 7, 2026Guoshan Liu, Bin Zhu, Pengkun Jiao +3Recipe Graph Representation Learning
Institute of Trustworthy Embodied AI, Fudan University, China and Shanghai Key Laboratory of Multimodal Embodied AI, China · Singapore Management University, Singapore
NodeJEPA: Structure-Conditioned Latent Prediction for Node-Level Graph Self-Supervised Learning
Aug 5, 2026Tinghe Zhang, Jian Xu, Jiaheng Chen +3Joint-Embedding Predictive Architectures Graph Representation Learning
1Northeastern University
ProPRL: Property-Aware Prerequisite Relation Learning in Educational Knowledge Graphs
Aug 4, 2026Xinghe Cheng, Jiapu Wang, Chaobo He +2Relational Deep Learning Zero-Shot Link Prediction
1Jinan University · 2Nanjing University of Science and Technology · 3South China Normal University +1
Empowering Credit Risk Detection in Weixin Pay with Billion-Scale Deep Graph Learning
Aug 3, 2026Xin Liu, Xiyuan Chen, Chenglong Wu +3Graph Representation Learning Credit Risk Prediction
Tongji University Shanghai, China · Tencent Inc. Shenzhen, China
Multi-Source Dynamic Graph Learning for Compound-Flood Forecasting in Managed Coastal Systems
Aug 3, 2026Liangjun You, Min Wu, Orlando Woods +1Accurate Flood Prediction Spatio-Temporal Forecasting
City University of Hong Kong (Dongguan) China · A*STAR Singapore · Singapore Management University Singapore
HP-JEPA: Hierarchical Partitioning for Multi-Resolution Graph Joint-Embedding Predictive Learning
Aug 1, 2026Ruichen Xu, Jingxiang Qu, Wenhan Gao +5Graph Representation Learning Partitioning
Department of Applied Mathematics and Statistics Stony Brook University Stony Brook, NY, USA · Department of Computer Science Stony Brook University Stony Brook, NY, USA · TikTok Bellevue, WA, USA +2
Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction
Jul 31, 2026Sen Zhao, Cheng Liu, Shuyin Xia +4Zero-Shot Link Prediction Graph Representation Learning
Chongqing Key Laboratory of Computational Intelligence, Key Laboratory of Big Data Intelligent Computing, Key Laboratory of Cyberspace Big Data Intelligent Security, Ministry of Education, School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China · Chongqing Key Laboratory of Computational Intelligence, Key Laboratory of Big Data Intelligent Computing, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China · Chongqing Ant ConsumerFinance Co,. Ltd, Ant Group, Chongqing, 400065, China
TopoFormer: Topology Meets Attention for Graph Learning
Jul 30, 2026Md Joshem Uddin, Astrit Tola, Cuneyt Gurcan Akcora +1Graph Representation Learning Topology
Department of Mathematical Science The University of Texas at Dallas Richardson, TX 75080, USA · Department of Mathematics Florida State University Tallahassee, FL 32306, USA · AI Initiative University of Central Florida Orlando, FL 32816, USA
What Makes Graph Unified? Principles and Generative Sliding-Window Transformer for Graph Foundation Models
Jul 30, 2026Dongxiao He, Siqi Liu, Jitao Zhao +3Graph Foundation Model Graph Representation Learning
School of Computer Science and Technology Tianjin University Tianjin, China · School of Economics and Management Beijing University of Posts and Telecommunications Beijing, China
Guarding Organizations Against Malware Risk: A Novel Graph-Based Malware Detection Method
Jul 29, 2026Yinan Gao, Jiarong Xu, Xiaohang Zhao +1Malware Graph Representation Learning
School of Management, Fudan University · School of Information Management and Engineering, Shanghai University of Finance and Economics · Lerner College of Business and Economics, University of Delaware
CLARK: Closed-loop Learning for Adaptive Reasoning over Knowledge Graphs
Jul 22, 2026Yousef Khan, Luca Gherardini, Marco Maratea +2Knowledge Graphs Graph Representation Learning
Computational Intelligence Team, Sano - Centre for Computational Personalised Medicine, Krakow, Poland · CISUC/LASI, Department of Informatics Engineering, University of Coimbra, Coimbra, Portugal · DeMaCS, University of Calabria, Calabria, Italy
Node4All: Learning Node Representation Beyond Datasets
Jul 19, 2026Dooho Lee, Jaemin YooGraph Representation Learning Graph Representations
KAIST · Daejeon, Republic of Korea · Seoul National University +1
Discrete Ricci Curvature on Protein Contact Graphs for Lightweight Fold Classification
Jul 17, 2026Jianru ShenBehavioral Embeddings Graph Representation Learning
University of Montana Missoula, MT, USA
Model Agnostic Graph Prompt Learning for Crystal Property Prediction
Jul 9, 2026Shrimon Mukherjee, Kishalay Das, Partha Basuchowdhuri +2Graph Neural Networks Graph Representation Learning
School of Mathematical & Computational Sciences, Indian Association for the Cultivation of Science, Kolkata, India · Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, India
EdgeRefine: Privacy-Utility Balance for Graphs via Jaccard Sampling under Edge Differential Privacy
Jul 9, 2026Wenxiu Ding, Muzhi Liu, Zheng Yan +3Δ)$-Differential Privacy Graph Representation Learning
State Key Laboratory of Integrated Services Networks, School of Cyber Engineering, Xidian University, Xi’an, Shaanxi, China · School of Cyber Engineering, Xidian University, Xi’an, Shaanxi, China
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 Learning Graph Neural Networks
Department of Mathematics, University of Oslo, Oslo, 0371, Oslo, Norway.
Fast Rates for Semi-Supervised Learning via Data-Augmentation Graph Regularization
Jul 8, 2026Adam M. ObermanSemi-Supervised Learning Graph Representation Learning
Department of Mathematics and Statistics, McGill University · Mila, Quebec AI Institute · LawZero
Diffusion enabled Optimal Transport distances for graph matching
Jul 7, 2026Iman Seyedi, Francesco ArchettiGraph Representation Learning Gromov--Wasserstein
Department of Computer Science Systems and Communication, University of Milano-Bi- cocca, 20126 Milan, Italy
Intuitionistic Fuzzy Graph Embedded Random Vector Functional Link with Multiview Learning
Jul 6, 2026Vrushank Ahire, Yogesh Kumar, M. A. GanaieMulti-View Fuzzy
Dept. of Computer Science and Engineering, IIT Ropar, Punjab, India
Graph Representation Learning of Longitudinal Medical Imaging Trajectories for Treatment Response Prediction
Jul 6, 2026Johannes Kiechle, Richard Osuala, Daniel M. Lang +5Prognostics Longitudinal Imaging
Technical University of Munich · TUM University Hospital Rechts der Isar · Helmholtz Munich +4
Towards Personalized Differentially Private Learning for Decentralized Local Graphs
Jul 6, 2026Longzhu He, Peng Tang, Chaozhuo Li +5Decentralized Learning Federated Graph Learning
School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, China · State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China · School of Cyber Science and Technology, Shandong University, Qingdao, China +2
Breaking Structural Isolation: Scalable Graph Clustering via Community-Aware Sampling and Structural Entropy
Jul 6, 2026Jingyun Zhang, Hao Peng, Jianxin Li +2Graph Representation Learning Contrastive Learning
Beihang University Beijing, China · Hangzhou Innovation Institute, Beihang University Hangzhou, China · University of Illinois at Chicago Chicago, USA
Target-Aware Interaction-Guided Reinforcement Learning for Black-Box Node Injection Attacks on Graph Neural Networks
Jul 5, 2026Yi Lan, Ye YuanGraph Neural Networks Graph Representation Learning
College of Computer and Information Science, Southwest University, Tiansheng Road, Chongqing, 400715, China
SGF-CDNet: A Consistency-Discrepancy Graph Network over Semantic-Geometric Fused Nodes for Face Forgery Detection
Jul 4, 2026Jiayao Jiang, Bin Liu, Nenghai YuFace Forgery Detection Deepfake Detection
School of Cyber Science and Technology, University of Science and Technology of China, China · Anhui Province Key Laboratory of Digital Security, China
Graph Classification via Network Usable Information: From Representation Evaluation to Structure Selection
Jul 3, 2026Abdullah Shaik, Anwar SaidGraph Representation Learning Multiple Centrality Measures
Cyber Security Consultant Regulatory Risk & Forensic Deloitte Transaction and Business LLP Nashville, 37076 TN · Research Scientist Vanderbilt University Nashville, 37212 TN
LLM-Enhanced Hierarchical Heterogeneous Graph Representation Learning for Malicious Python Package Detection
Jul 3, 2026Hang Gao, Xiaoyu Chen, Baoquan Cui +4Program Analysis Malware
Institute of Software, Chinese Academy of Sciences · University of Chinese Academy of Sciences
MABLE: Masked Autoencoding with Bi-Lipschitz Decoding for Embeddings and Graph Metric Learning
Jul 3, 2026Yaniv Shulman, Shaghayegh Akbarpour, Jack B. MuirGraph Representation Learning Behavioral Embeddings
Fleet Space Technologies, Adelaide, Australia · Research School of Earth Sciences, Australian National University, Acton, Australia
Robust and Explainable 3D Mode Shape Recognition Using Region-Aware Graph Neural Networks
Jul 1, 2026Tong Duy Son, Marc Brughmans, Andrey Hense +4Graph Representation Learning Finite Element Method
Siemens Digital Industries Software, Interleuvenlaan 68, 3001 Leuven, Belgium · KU Leuven, Campus Diepenbeek, Department of Mechanical Engineering Wetenschapspark 27, B-3590, Diepenbeek, Belgium · Siemens Digital Industries Software, Jul 3-1-9 Shin-Yokohama, Yokohama 222-0033, Japan
SAOT: Self-Supervised Continual Graph Learning with Structure-Aware Optimal Transport
Jul 1, 2026Yuting Zhang, Yanbei Liu, Zhitao Xiao +3Graph Representation Learning
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

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Complementary Supervised and Self-Supervised Representations for Out-of-Distribution Graph Learning

Qingying Hao, Zikang Chen, Chuxuan Hu, Jinyuan Jia+3

ShanghaiTech University Shanghai, China · University of Illinois Urbana-Champaign Urbana, Illinois, USA · The Pennsylvania State University University Park, Pennsylvania, USA

Graph Representation Learning

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Out-of-distribution (OOD) generalization remains challenging for graph neural networks (GNNs), as graph distributions can vary substantially across time and domains. Supervised and self-supervised graph representation learning are guided by distinct objectives and offer different perspectives on graph representations. In this work, we study whether self-supervised representations (SSL) can provide complementary signals to improve supervised OOD node classification. We develop two backbone-agnostic frameworks that exploit such information at different stages of learning and prediction. Co-Train jointly learns supervised and SSL representations and adaptively integrates them during training, while Dual-Space Retrieval performs non-parametric prediction in the two representation spaces and combines their predictions through confidence-aware fusion at inference time. The supervised and SSL encoders are separately parameterized and need not share the same GNN architecture. We evaluate multiple GNN backbones and two distinct SSL objectives, DGI and GRACE, on four graph benchmarks spanning temporal and cross-domain distribution shifts. Extensive experiments show that Co-Train consistently outperforms strong supervised OOD baselines, while Dual-Space Retrieval achieves competitive performance as a flexible non-parametric alternative. Results across different backbones and SSL objectives, together with representation analyses and ablations, demonstrate that SSL representations provide complementary information to supervised representations and can improve OOD node classification across diverse settings.

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