Graph Neural Networks

Also known as GNN

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88 papers in the last four weeks, up 31% on the four weeks before. 0.5% of all new papers.

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PathMoG: A Pathway-Centric Modular Graph Neural Network for Multi-Omics Survival Prediction
Apr 27, 2026Di Wang, Chupei Tang, Junxiao Kong +3Cancer Genomics Graph Neural Networks
1Cuiying Honors College, Lanzhou University, China · School of Mathematics and Statistics, Lanzhou University, China · School of Mathematics and Statistics, Lanzhou University, China and Shanghai Innovation Institute +1
Latent-Hysteresis Graph ODEs: Modeling Coupled Topology-Feature Evolution via Continuous Phase Transitions
Apr 27, 2026Qinhan Hou, Jing TangDynamical Systems Graph Structure Learning
Doctoral Program of Computer Science, University of Helsinki, Helsinki, Finland · Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki, Finland
Graph-augmented Segmentation of Complex Shapes in Laser Powder bed Fusion for Enhanced In Situ Inspection
Apr 27, 2026Stefano Raimondo, Matteo Bugatti, Marco GrassoGraph Neural Networks U-Net
Department of Mechanical Engineering, Politecnico di Milano, Milan, Italy · Department of Mechanical Engineering, Politecnico di Milano, Via La Masa 1, 20156 Milan, Italy
Crystal structure prediction using graph neural combinatorial optimization
Apr 27, 2026Stavros Gerolymatos, J. Kyle Brubaker, Martin J. A. Schuetz +1Graph Neural Networks Crystal Structure Prediction
School of Computer Science and Informatics, University of Liverpool, Liverpool, England, UK · Amazon Advanced Solutions Lab, Seattle, Washington 98170, USA · Arm Inc., San Jose, California 95134
Graph Memory Transformer (GMT)
Apr 26, 2026Nicola Zanarini, Niccolò Ferrari, Evelina LammaMemory-Augmented Neural Networks Transformer FFNs
Bonfiglioli Engineering s.r.l. · Department of Engineering, University of Ferrara, Via Saragat 1, 44122 Ferrara, Italy · NAIS s.r.l., Via Maria Callas 4, 40131 Bologna, Italy
Scalable Production Scheduling: Linear Complexity via Unified Homogeneous Graphs
Apr 26, 2026Jonathan Hoss, Moritz Link, Noah KlarmannGraph Neural Networks Reinforcement Learning
Faculty of Management and Engineering, Rosenheim Technical University of Applied Sciences, Germany
Crystal Fractional Graph Neural Network for Energy Prediction of High-Entropy Alloys
Apr 26, 2026Takanori Kotama, Yang HuangGraph Neural Networks Materials Property Prediction
School of Informatics, Nagoya University, Nagoya 4648601, Japan · University of Science and Technology of China, Hefei 230026, China · Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou 215213, China
Hamiltonian Graph Inference Networks: Joint structure discovery and dynamics prediction for lattice Hamiltonian systems from trajectory data
Apr 26, 2026Ru Geng, Panayotis Kevrekidis, Yixian Gao +2Dynamical Systems Graph Structure Learning
School of Mathematics and Statistics, Changchun University, Changchun, 130022, China · Department of Mathematics and Statistics, University of Massachusetts, Amherst, 01003, MA, USA · Department of Physics, University of Massachusetts, Amherst, 01003, MA, USA +2
Probabilistic Graphical Model using Graph Neural Networks for Bayesian Inversion of Discrete Structural Component States
Apr 26, 2026Teng Li, Stephen Wu, Yong Huang +2Graph Neural Networks Bayesian Inverse Problems
Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology, Harbin Institute of Technology, Harbin 150090, China · Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, School of Civil Engineering, Harbin, Institute of Technology, Harbin 150090, China · The Institute of Statistical Mathematics, Research Organization of Information and Systems, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562, Japan +2
Layer Embedding Deep Fusion Graph Neural Network
Apr 25, 2026Taihua Xu, Genhao Tian, Jicong Fan +3Graph Structure Learning Graph Neural Networks
Jiangsu University of Science and Technology · The Chinese University of Hong Kong, Shenzhen · Chongqing University of Post and Telecommunications
HBGSA: Hydrogen Bond Graph with Self-Attention for Drug-Target Binding Affinity Prediction
Apr 25, 2026Junxiao Kong, Chupei Tang, Di Wang +4Protein-Ligand Binding Affinity Prediction Graph Neural Networks
School of Mathematics and Statistics, Lanzhou University, 222 South Tianshui Road, 730000, Gansu, China · Department of Computer Science, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon Tong, Hong Kong 999077, China
STEM: Structure-Tracing Evidence Mining for Knowledge Graphs-Driven Retrieval-Augmented Generation
Apr 24, 2026Peng Yu, En Xu, Bin Chen +2Graph Neural Networks Graph Retrieval-Augmented Generation
AI Product Center, Kingsoft Corporation, Beijing, China
Towards Understanding the Expressive Power of GNNs with Global Readout
Apr 23, 2026Maurice Funk, Daumantas KojelisGraph Neural Networks GNN Expressivity
Leipzig University, Germany
Drug Synergy Prediction via Residual Graph Isomorphism Networks and Attention Mechanisms
Apr 23, 2026Jiyan Song, Wenyang Wang, Chengcheng Yan +2Graph Neural Networks Graph Representation Learning
College of Sciences, Shihezi University, 221 North 4th Road, Shihezi, 832003, Xinjiang, China · School of Mathematics and Computational Science, Xiangtan University, North 2nd Ring Road, Xiangtan, 411105, Hunan, China
Graph Neural Network-Informed Predictive Flows for Faster Ford-Fulkerson and PAC-Learnability
Apr 23, 2026Eleanor Wiesler, Trace BaxleyImage Segmentation Graph Neural Networks
1Harvard Department of Mathematics. · 2Harvard Department of Computer Science.
Robustness of Spatio-temporal Graph Neural Networks for Fault Location in Partially Observable Distribution Grids
Apr 22, 2026Burak Karabulut, Carlo Manna, Chris DevelderGraph Attention Networks Graph Neural Networks
Ghent University – imec · VITO
Sheaf Neural Networks on SPD Manifolds: Second-Order Geometric Representation Learning
Apr 22, 2026Yuhan Peng, Junwen Dong, Yuzhi Zeng +6Graph Neural Networks Geometric Representation Learning
School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore · Chern Institute of Mathematics, Nankai University, Tianjin, China · Department of Mathematics, Faculty of Science, National University of Singapore, Singapore +3
Concept Graph Convolutions: Message Passing in the Concept Space
Apr 22, 2026Lucie Charlotte Magister, Pietro LioGraph Neural Networks Message Passing Neural Networks
University of Cambridge
When Graph Structure Becomes a Liability: A Critical Re-Evaluation of Graph Neural Networks for Bitcoin Fraud Detection under Temporal Distribution Shift
Apr 21, 2026Saket MagantiGraph Neural Networks Distribution Shift
The Logical Expressiveness of Topological Neural Networks
Apr 21, 2026Amirreza Akbari, Amauri H. Souza, Vikas GargGraph Neural Networks GNN Expressivity
Aalto University · Federal Institute of Cear´a, 2δ AI · YaiYai Ltd
Inductive Subgraphs as Shortcuts: Causal Disentanglement for Heterophilic Graph Learning
Apr 21, 2026Xiangmeng Wang, Qian Li, Haiyang Xia +3Disentangled Representation Learning Graph Neural Networks
Curtin University Perth, Australia · The Education University of Hong Kong New Territories, Hong Kong
Subgraph Concept Networks: Concept Levels in Graph Classification
Apr 20, 2026Lucie Charlotte Magister, Alexander Norcliffe, Iulia Duta +1Graph Neural Networks Hierarchical Representation Learning
University of Cambridge Cambridge, UK
Multi-View Hierarchical Graph Neural Network for Sketch-Based 3D Shape Retrieval
Apr 20, 2026Hang Cheng, Muyan He, Mingyu Fan +3Graph Neural Networks Hierarchical Representation Learning
Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong, China · Control and Simulation Center, Harbin Institute of Technology, Harbin, Heilongjiang
Contraction and Hourglass Persistence for Learning on Graphs, Simplices, and Cells
Apr 19, 2026Mattie Ji, Indradyumna Roy, Vikas GargGraph Neural Networks Graph Representation Learning
University of Pennsylvania · Aalto University · Indian Institute of Technology Bombay +1
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
NK-GAD: Neighbor Knowledge-Enhanced Unsupervised Graph Anomaly Detection
Apr 17, 2026Zehao Wang, Lanjun WangGraph Neural Networks Reconstruction-Based Anomaly Detection
College of Intelligence and Computing, Tianjin University, Tianjin, China · School of New Media and Communication, Tianjin University, Tianjin, China
A Structure-Preserving Graph Neural Solver for Parametric Hyperbolic Conservation Laws
Apr 17, 2026Jiamin Jiang, Shanglin Lv, Jingrun ChenGraph Neural Networks Neural PDE Solvers
School of Artificial Intelligence and Data Science and Suzhou Institute for Advanced Research, University of Science and Technology of China, and Suzhou Big Data & AI Research and Engineering Center, China · School of Mathematical Sciences, University of Science and Technology of China, China · School of Mathematical Sciences and Suzhou Institute for Advanced Research, University of Science and Technology of China, and Suzhou Big Data & AI Research and Engineering Center, China
Beyond the Laplacian: Doubly Stochastic Matrices for Graph Neural Networks
Apr 16, 2026Zhaobo Hu, Vincent Gauthier, Mehdi NaimaGraph Neural Networks Graph Diffusion
SAMOVAR, Télécom SudParis · Institut Polytechnique de Paris · CNRS – LIP6 +1
CPGRec+: A Balance-oriented Framework for Personalized Video Game Recommendations
Apr 16, 2026Xiping Li, Aier Yang, Jianghong Ma +4Graph Neural Networks Recommender Systems
Harbin Institute of Technology, China · School of Computer Science, Wuhan University, China
Leveraging LLM-GNN Integration for Open-World Question Answering over Knowledge Graphs
Apr 15, 2026Hussein Abdallah, Ibrahim Abdelaziz, Panos Kalnis +1Knowledge Graph Question Answering LLM Reasoning with Graphs
Concordia University · IBM · KAUST

Apr 27, 2026J/K move · Enter open · S save

PathMoG: A Pathway-Centric Modular Graph Neural Network for Multi-Omics Survival Prediction

Di Wang, Chupei Tang, Junxiao Kong, Jixiu Zhai+2

1Cuiying Honors College, Lanzhou University, China · School of Mathematics and Statistics, Lanzhou University, China · School of Mathematics and Statistics, Lanzhou University, China and Shanghai Innovation Institute+1

Cancer Genomics Graph Neural Networks Cancer Survival Prediction Survival Analysis Oncology Modular Neural Networks

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Cancer survival prediction from multi-omics data remains challenging because prognostic signals are high-dimensional, heterogeneous, and distributed across interacting genes and pathways. We propose PathMoG, a pathway-centric modular graph neural network for multi-omics survival prediction. PathMoG reorganizes genome-scale inputs into 354 KEGG-informed pathway modules, introduces a Hierarchical Omics Modulation module to condition gene-expression representations on mutation, copy number variation, pathway, and clinical context, and uses dual-level attention to capture both intra-pathway driver signals and inter-pathway clinical relevance. We evaluated PathMoG on 5,650 patients across 10 TCGA cancer types and observed consistent improvements over representative survival baselines. The framework further provides gene-level, pathway-level, and patient-level interpretability, supporting biologically grounded and clinically relevant risk stratification.