Graph SSL

SSL: Self-Supervised Learning

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4 papers in the last four weeks, with none the four weeks before. 0.0% 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 Neural Networks Graph Representation Learning
ShanghaiTech University Shanghai, China · University of Illinois Urbana-Champaign Urbana, Illinois, USA · The Pennsylvania State University University Park, Pennsylvania, USA
LEON: Location Embeddings from OSM Neighborhoods via Hexagonal Graph Masked Autoencoders
Oct 4, 2026Szymon Soltysiak, Radoslaw Malek, Jedrzej Kusnierz +3Masked Autoencoders Geospatial Representation Learning
Department of Artificial Intelligence, Wroclaw University of Science and Technology, Wroclaw, Poland
Temporal Heterogeneous Graph Pretraining for Relational Deep Learning
Sep 28, 2026Yixin Peng, Er Jin, Diego Collarana +1Temporal GNNs Heterogeneous GNNs
RWTH Aachen University, Aachen, Germany · Fraunhofer FIT, Sankt Augustin, Germany
Robust and Efficient AI Frameworks for Scalable Material Design and Property Prediction
Sep 15, 2026Kishalay DasGraph SSL Materials Property Prediction
Multi-View Molecular Representation Learning with Hierarchical Graphs and Contextualized Fingerprints
Sep 14, 2026Gwang-Hyeon Yun, Jong-Hoon Park, Bing Hu +3Graph SSL Hierarchical Representation Learning
Yonsei University · Wonju-si, Republic of Korea · University of Waterloo +1
NodeJEPA: Structure-Conditioned Latent Prediction for Node-Level Graph Self-Supervised Learning
Aug 5, 2026Tinghe Zhang, Jian Xu, Jiaheng Chen +3Graph Representation Learning Graph SSL
1Northeastern University
HP-JEPA: Hierarchical Partitioning for Multi-Resolution Graph Joint-Embedding Predictive Learning
Aug 1, 2026Ruichen Xu, Jingxiang Qu, Wenhan Gao +5Graph Representation Learning Graph SSL
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
CondPSE: A Polynomial-Filtered Structural Encoder with Conditional Modulation for Graphs
Jul 28, 2026Woohyun Lee, Hogun ParkGraph Representation Learning Graph SSL
Sungkyunkwan University Suwon, Republic of Korea
Unsupervised Graph Representation Learning with Complementary View Alignment
Jul 27, 2026Zengyi Wo, Shiyu Zhang, Qiyao Peng +2Graph Neural Networks Graph Representation Learning
Nanjing University, Nanjing, China · Tianjin University, Tianjin, China
MEGA-CL: A Molecular Foundation Model for Generalizable ADMET Prediction through Graph External Attention and Contrastive Learning
Jul 27, 2026Tinghui Jin, Kedu Jin, Ying Li +8Graph SSL Graph Foundation Models
School of Science, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China · 2Sir Run Run Hospital, Nanjing Medical University, Nanjing, China · 3Jiangsu Key Laboratory of Carcinogenesis and Intervention, China Pharmaceutical University, Nanjing, China
Masked Topology Modeling for Self-Supervised Learning on Parametric CAD
Jul 22, 2026Heinrich Jiang, Jennifer JangGraph SSL Parametric CAD Modeling
StoryGold AI
Scalable and Efficient Joint Spiking Embedding Predictive Architecture for Large-Scale Dynamic Graphs
Jul 20, 2026Huizhe Zhang, Yuchang Zhu, Huazhen Zhong +2Temporal GNNs Graph SSL
Sun Yat-sen University Guangzhou, China · Sun Yat-sen University Zhuhai, China
Node4All: Learning Node Representation Beyond Datasets
Jul 19, 2026Dooho Lee, Jaemin YooGraph Representation Learning Graph SSL
KAIST · Daejeon, Republic of Korea · Seoul National University +1
ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction
Jul 19, 2026Hexiao Ding, Hongzhao Chen, Jing Lan +12Graph SSL Physics-Informed ML
Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hong Kong SAR, China · University of Liverpool, Liverpool, United Kingdom · Shanghai Jiao Tong University, Shanghai, China +1
LATTICE: Graph Self-Supervised Learning for Multimodal Spatial Omics Integration
Jul 15, 2026Jagan Mohan Reddy Dwarampudi, Veena Kochat, Suresh Satpati +2Spatial Transcriptomics Graph SSL
University of Houston · MD Anderson Cancer Center
Canopy: A Heterograph Foundation Model for Metabolic Engineering
Jul 7, 2026Jake Bowden, Laurence Legon, Satnam SuraeHeterogeneous GNNs Graph SSL
Twig Bio, London, United Kingdom
MABLE: Masked Autoencoding with Bi-Lipschitz Decoding for Embeddings and Graph Metric Learning
Jul 3, 2026Yaniv Shulman, Shaghayegh Akbarpour, Jack B. MuirMasked Autoencoders Graph Representation Learning
Fleet Space Technologies, Adelaide, Australia · Research School of Earth Sciences, Australian National University, Acton, Australia
SAOT: Self-Supervised Continual Graph Learning with Structure-Aware Optimal Transport
Jul 1, 2026Yuting Zhang, Yanbei Liu, Zhitao Xiao +3Graph Representation Learning Graph 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
AGE: Adaptive-masking for Graph Embedding in Graph Retrieval-Augmented Generation
Jun 30, 2026Bao Long Nguyen Huu, Atsushi HashimotoGraph Representation Learning Graph SSL
OMRON Corporation · OMRON SINIC X Corporation
GLIP: Graph and LLM Joint Pretraining for Graph-Level Tasks
Jun 29, 2026Haoxin Sun, Yiqing Lin, Yajun Huang +3Language Model Pretraining Graph SSL
Fudan University Shanghai, China · ByteDance Shanghai, China
Progressive Self-Supervised Learning with Individualized Community Assignment for Brain Network Analysis
Jun 29, 2026Hairui Chen, Yanwu Yang, Jianfeng Cao +3Self-Supervised Learning Graph SSL
Harbin Institute of Technology at Shenzhen, Shenzhen, China · Peng Cheng Laboratory, Shenzhen, China · University of Tübingen, Tübingen, Germany +1
Towards Improved Anomaly Detection for Cloud Cybersecurity via Graph Neural Networks
Jun 27, 2026Manu Nandan, TJ Jaymes, Michael Brautbar +1Graph SSL Cybersecurity
CrowdStrike, Inc., USA · Univ. of Maryland, Baltimore County, USA
Beyond Sparse Supervision: Diffusion-Guided Learning for Few-Shot Graph Fraud Detection
Jun 26, 2026Liming Liu, Chao Hu, Mingfei Lu +3Graph Neural Networks Graph SSL
Central South University, Changsha, China · University of Technology Sydney, Australian Artificial Intelligence Institute, Sydney, Australia
scKDGM: KAN-guided Dynamic Graph Masked Learning for Single-Cell RNA-seq Clustering
Jun 26, 2026Jun Tang, Pengwei Hu, Sicong Gao +3Graph SSL Clustering
College of Computer and Information Science, Southwest University, Chongqing, China · Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, China
scGTN: Deep Siamese Graph Transformer Network for Single-cell RNA Sequencing Clustering
Jun 17, 2026Jinke Wu, Yifan Wang, Siyu Yi +5Graph SSL Clustering
Sichuan University · University of International Business and Economics · Great Bay University +1
Timestamp-Aware Spatio-Temporal Graph Contrastive Learning for Network Intrusion Detection
Jun 15, 2026Jianli Dai, Guangwei Wu, Jiacheng Li +3Temporal GNNs Graph SSL
Central South University of Forestry and Technology, School of Computer Science and Mathematics, Changsha, 410004, Hunan, P.R. China · Central South University, School of Computer Science and Engineering, Changsha, 410083, Hunan, P.R. China
Revisiting Positive Samples in Graph Contrastive Learning: From the Perspective of Message Passing
Jun 9, 2026Lianze Shan, Ningchong Wang, Jitao Zhao +2Graph SSL Message Passing Neural Networks
School of Computer Science and Technology, Tianjin University, Tianjin, China · School of Future Technology, Tianjin University, Tianjin, China.
BRIDGE: Biological Evidence Refinement and Heterogeneous Dynamic Gating for Gene Regulatory Networks
Jun 2, 2026Ziyang Dong, Shanwen Tan, Hengchuang Yin +5Heterogeneous GNNs Graph SSL
College of Computer Science, Sichuan University, Chengdu, 610065, China · Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, 830011, China · School of Mathematics, Sichuan University, Chengdu, 610065, China +2
GraphLit: Learning Text-Enriched Dynamic Character Network Representations for Literary Study
May 27, 2026Gaspard Michel, Elena V. Epure, Romain Hennequin +2Computational Literary Studies Heterogeneous GNNs
Deezer Research, Paris, France · IDIAP, Martigny, Switzerland · Loria, Nancy, France +1
Learning Dynamic Graph Representations through Timespan View Contrasts
May 26, 2026Yiming Xu, Zhen Peng, Bin Shi +2Graph SSL Dynamic Graph Learning
School of Computer Science and Technology, Xi’an Jiaotong University, P.R. China · School of Distance Education, Xi’an Jiaotong University, P.R. China
RelPrism: A Multi-Faceted Pre-training Framework with Self-Generated Tasks for Relational Databases
May 22, 2026Jinyu Yang, Cheng Yang, Junze Chen +4Representation Learning Self-Supervised Pre-Training
Beijing University Of Posts and Telecommunications Beijing, China · Peng Cheng Laboratory Shenzhen, China · China Telecom Bestpay Beijing, China +1
Instance Discrimination for Link Prediction
May 18, 2026Valentin Cuzin-Rambaud, Mathieu Lefort, Rémy CazabetData Augmentation Link Prediction
SyCoSMA, DM2L, LIRIS, UCBL · Université Lyon 1, INSA Lyon, CNRS, LIRIS, UMR 5205, Lyon, France. · LIRIS, SyCoSMA, IRISA, MALT, UR +2
A Unified Perspective for Learning Graph Representations Across Multi-Level Abstractions
May 12, 2026Mohamed Mahmoud Amar, Nairouz Mrabah, Mohamed Bouguessa +1Graph Representation Learning Graph SSL
Department of Computer Science, University of Quebec at Montreal, Montreal, QC, Canada
Robustness of Graph Self-Supervised Learning to Real-World Noise: A Case Study on Text-Driven Biomedical Graphs
May 6, 2026Othmane Kabal, Mounira Harzallah, Fabrice Guillet +2Graph SSL Text-Attributed Graph Learning
Nantes University, LS2N, Nantes, 44300, France. · National Institute of Informatics, 2-1-2 Hitotsubashi, Chiyoda-ku,2026 Tokyo 101-8430 Japan. · Institute of Science Tokyo, Tokyo 152-8550 Japan.
Adaptive Negative Scheduling for Graph Contrastive Learning
May 4, 2026Adnan Ali, Jinlong Li, Syed Muhammad Israr +1Graph Representation Learning Graph SSL
School of Computer Science and Technology, University of Science and Technology of China, Hefei, China
GraphSculptor: Sculpting Pre-training Coreset for Graph Self-supervised Learning
May 2, 2026Chuang Liu, Zelin Yao, Xueqi Ma +4Graph Representation Learning Self-Supervised Pre-Training
Sangfor Technologies Inc. · Wuhan University · The University of Melbourne +2
HopRank: Self-Supervised LLM Preference-Tuning on Graphs for Few-Shot Node Classification
Apr 19, 2026Ziqing Wang, Kaize DingLLM Alignment Graph SSL
Northwestern University
Graph self-supervised learning based on frequency corruption
Apr 17, 2026Haojie Li, Mengjiao Zhang, Guanfeng Liu +3Graph Neural Networks Graph Representation Learning
School of Data Science, Qingdao University of Science and Technology Qingdao, China · School of Information Science and Technology, Qingdao University of Science and Technology Qingdao, China · School of Computing, Macquarie University Sydney, Australia
Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm
Sep 29, 2025Yunhao Liang, Pujun Zhang, Yuan Qu +3Graph SSL Combinatorial Optimization
Faculty of Engineering, The University of Hong Kong, Hong Kong SAR, China · Costello College of Business, George Mason University, VA, USA · Faculty of Business and Economics, The University of Hong Kong, Hong Kong, China +1
Semantic Representation Learning of Scientific Literature based on Adaptive Feature and Graph Neural Network
Nov 1, 2023Hongrui Gao, Yawen Li, Meiyu Liang +2Representation Learning Graph Representation Learning
Beijing Key Laboratory of Intelligent Communication Software and Multimedia, School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications · School of Economics and Management, Beijing University of Posts and Telecommunications

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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 Neural Networks Graph Representation Learning Graph SSL OOD Generalization

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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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