Graph Neural Networks

Also known as GNN

Follow this topic Ask about this topic

Latest papers 686

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

All topics

RoleMAG: Learning Neighbor Roles in Multimodal Graphs
Apr 14, 2026Yilong Zuo, Xunkai Li, Zhihan Zhang +2Multimodal Graph Learning Graph Neural Networks
Beijing Institute of Technology, Beijing, China
Learning How Much to Think: Difficulty-Aware Dynamic MoEs for Graph Node Classification
Apr 13, 2026Jiajun Zhou, Yadong Li, Xuanze Chen +4Graph Neural Networks Mixture-of-Experts Models
Jiajun Zhou, Yadong Li, Xuanze Chen, Chen Ma, Shanqing Yu and Qi Xuan are with the Institute of Cyberspace Security, Zhejiang University of Technology, Hangzhou 310023, China, with the Binjiang Cyberspace Security Institute of ZJUT, Hangzhou, 310056, China, and with the Soovar Technologies Co., Ltd., Hangzhou 310056, China. · Chuang Zhao is with the Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong, China.
Dynamic Sheaf Diffusion Networks with Adaptive Local Structure for Heterogeneous Spatio-Temporal Graph Learning
Apr 13, 2026Abeer Mostafa, Raneen Younis, Zahra AhmadiGraph Neural Networks Spatiotemporal GNNs
Peter L. Reichertz Institute for Medical Informatics, Hannover Medical School, Hannover, Germany · Lower Saxony Center for Artificial Intelligence and Causal Methods in Medicine (CAIMed), Hannover, Germany
Unified Graph Prompt Learning via Low-Rank Graph Message Prompting
Apr 13, 2026Beibei Wang, Bo Jiang, Ziyan Zhang +1Prompt Learning Graph Neural Networks
School of Computer Science and Technology, Anhui University, Hefei 230601, China. · State Key Laboratory of Opto-Electronic Information Acquisition and Protection Technology, School of Computer Science and Technology, Anhui University, Hefei 230601, China.
On-Meter Graph Machine Learning: A Case Study of PV Power Forecasting for Grid Edge Intelligence
Apr 10, 2026Jian Huang, Zixiang Ming, Yongli Zhu +1Edge ML Solar Power Forecasting
Sun Yat-sen University, Guangzhou, China
Transferable FB-GNN-MBE Framework for Potential Energy Surfaces: Data-Adaptive Transfer Learning in Deep Learned Many-Body Expansion Theory
Apr 10, 2026Siqi Chen, Zhiqiang Wang, Yili Shen +8Graph Neural Networks Machine Learning Interatomic Potentials
Department of Chemical and Biomolecular Engineering, University of Massachusetts Amherst, Amherst, MA 01003 · Department of Chemistry, University of Massachusetts Amherst, Amherst, MA 01003 · Also at Department of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431 +5
SatQNet: Satellite-assisted Quantum Network Entanglement Routing Using Directed Line Graph Neural Networks
Apr 10, 2026Tobias Meuser, Jannis Weil, Aninda Lahiri +1Graph Neural Networks
Communication Networks Lab, Technical University of Darmstadt · Institute of Communication Technology, Leibniz University Hannover · Quantum Information Group, IMDEA Networks
On the Role of DAG topology in Energy-Aware Cloud Scheduling : A GNN-Based Deep Reinforcement Learning Approach
Apr 10, 2026Anas Hattay, Fred Ngole Mboula, Eric Gascard +1Cloud Computing Reinforcement Learning
CEA, List, Université Paris-Saclay, France · Université Grenoble Alpes, CNRS, Grenoble INP, G-SCOP, France
R2G: A Multi-View Circuit Graph Benchmark Suite from RTL to GDSII
Apr 9, 2026Zewei Zhou, Jiajun Zou, Jiajia Zhang +8Electronic Design Automation Graph Neural Networks
Nanjing University of Science and Technology · The Chinese University of Hong Kong
Graph Neural Networks for Misinformation Detection: Performance-Efficiency Trade-offs
Apr 9, 2026Soveatin Kuntur, Maciej Krzywda, Anna Wróblewska +4Graph Neural Networks Fake News Detection
Warsaw University of Technology, plac Politechniki 1, 00-661 Warsaw, Poland · Corresponding author · AGH University of Krakow, Faculty of Physics and Applied Computer Science, Krakow, Poland +4
Cluster Attention for Graph Machine Learning
Apr 8, 2026Oleg Platonov, Liudmila ProkhorenkovaGraph Neural Networks Attention Mechanisms
HSE University, Yandex Research · Yandex Research
Validated Intent Compilation for Constrained Routing in LEO Mega-Constellations
Apr 8, 2026Yuanhang LiIntent-Based Networking LEO Satellite Networks
Graph-PiT: Enhancing Structural Coherence in Part-Based Image Synthesis via Graph Priors
Apr 7, 2026Junbin Zhang, Meng Cao, Feng Tan +2Image Generation Controllable Image Generation
Guangdong Provincial Key Laboratory of Ultra High Definition Immersive Media Technology Shenzhen Graduate School, Peking University, China · Department of Computer Vision, Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates
EAGLE: Edge-Aware Graph Learning for Proactive Delivery Delay Prediction in Smart Logistics Networks
Apr 6, 2026Zhiming Xue, Menghao Huo, Yujue WangSupply Chain Management Spatiotemporal Forecasting
College of Engineering, Northeastern University Boston, USA · School of Engineering, Santa Clara University Santa Clara, USA · Department of Chemistry and Chemical Biology, University of New Mexico Albuquerque, USA
Empowering Power Outage Prediction with Spatially Aware Hybrid Graph Neural Networks and Contrastive Learning
Apr 6, 2026Xuyang Shen, Zijie Pan, Diego Cerrai +4Power Systems Graph Neural Networks
University of Connecticut · Western Connecticut State University · Eversource Energy
Relational Epipolar Graphs for Robust Relative Camera Pose Estimation
Apr 6, 2026Prateeth Rao, Sachit RaoRelative Pose Estimation Multi-View Geometry
International Institute of Information Technology Bangalore, 26/C, Electronic City, Hosur Road, Bangalore, 560 100, Karnataka, India.
MAVEN: A Mesh-Aware Volumetric Encoding Network for Simulating 3D Flexible Deformation
Apr 6, 2026Zhe Feng, Shilong Tao, Haonan Sun +3Deformable Object Simulation Graph Neural Networks
Academy for Advanced Interdisciplinary Studies, Peking University · School of Computer Science, Peking University · School of Electrical and Computer Science, University of Southampton
Motion-Adaptive Multi-Scale Temporal Modelling with Skeleton-Constrained Spatial Graphs for Efficient 3D Human Pose Estimation
Apr 4, 2026Ruochen Li, Shuang Chen, Wenke E +23D Human Pose Estimation Graph Neural Networks
Department of Computer Science, Durham University, UK
Towards Near-Real-Time Telemetry-Aware Routing with Neural Routing Algorithms
Apr 3, 2026Andreas Boltres, Niklas Freymuth, Benjamin Schichtholz +2Graph Neural Networks
Autonomous Learning Robots, Karlsruhe Institute of Technology · Institute of Telematics, Karlsruhe Institute of Technology
Communication-free Sampling and 4D Hybrid Parallelism for Scalable Mini-batch GNN Training
Apr 3, 2026Cunyang Wei, Siddharth Singh, Aishwarya Sarkar +7Graph Neural Networks Distributed Training
University of Maryland, College Park, USA · NVIDIA, Inc. · Iowa State University, USA +3
Analytic Drift Resister for Non-Exemplar Continual Graph Learning
Apr 3, 2026Lei Song, Shihan Guan, Youyong KongIncremental Learning Class-Incremental Learning
School of Computer Science and Engineering, Southeast University, Nanjnig 211189, China
Complex-Valued GNNs for Distributed Basis-Invariant Control of Planar Systems
Apr 3, 2026Samuel Honor, Mohamed Abdelnaby, Kevin LeahyGraph Neural Networks Multi-Agent Control
Robotics Engineering Department, Worcester Polytechnic Institute, Worcester, MA 01609, USA
A Graph Neural Network Approach for Solving the Ranked Assignment Problem in Multi-Object Tracking
Apr 2, 2026Robin Dehler, Martin Herrmann, Jan Strohbeck +1Data Association Multi-Object Tracking
The authors are with the Institute of Measurement, Control and Microtechnology, Ulm University, D-89081 Ulm, Germany.
EmbedPart: Embedding-Driven Graph Partitioning for Scalable Graph Neural Network Training
Apr 1, 2026Nikolai Merkel, Ruben Mayer, Volker Markl +1Graph Neural Networks Distributed Training
Technical University of Munich (TUM) · University of Bayreuth · TU Berlin, BIFOLD, DFKI +1
BLEG: LLM Functions as Powerful fMRI Graph-Enhancer for Brain Network Analysis
Apr 1, 2026Rui Dong, Zitong Wang, Jiaxing Li +2Brain Network Analysis Graph Neural Networks
School of Computer Science and Engineering, Southeast University
A Cross-graph Tuning-free GNN Prompting Framework
Apr 1, 2026Yaqi Chen, Shixun Huang, Ryan Twemlow +6Graph Neural Networks Prompt Engineering
University of Wollongong, Northfields Avenue, Gwynneville, 2500, NSW, Australia · Wuhan University, No. 299, Luojia Hill, Wuhan, 430072, Hubei, China
Disentangled Graph Prompting for Out-Of-Distribution Detection
Mar 31, 2026Cheng Yang, Yu Hao, Qi Zhang +1OOD Detection Graph Neural Networks
the Beijing Key Lab of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, China · China Mobile Group Shaanxi Co., Ltd.
Variational Graph Neural Networks for Uncertainty Quantification in Inverse Problems
Mar 31, 2026David Gonzalez, Alba Muixi, Beatriz Moya +1Uncertainty Quantification Graph Neural Networks
Keysight-UZ Chair of the Spanish National Strategy on AI. Aragon Institute of Engineering Research (I3A), Universidad de Zaragoza, Spain · Laboratori de Càlcul Numèric (LaCàn), Universitat Politècnica de Catalunya - BarcelonaTech (UPC), Spain · Centre Internacional de Mètodes Numèrics en Enginyeria (CIMNE), Barcelona, Spain +1
Software Vulnerability Detection Using a Lightweight Graph Neural Network
Mar 31, 2026Miles Farmer, Ekincan Ufuktepe, Anne Watson +4Software Vulnerability Detection Graph Neural Networks
Department of Electrical Engineering and Computer Science at the University of Missouri, MO, USA. · Software and Systems Division at the National Institute of Standards and Technology, Gaithersburg, MD, USA
Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification
Mar 31, 2026Guan Wang, Shuyin Xia, Lei Qian +4Graph Coarsening Graph Neural Networks
School of Computer Science and Technology, Chongqing Key Laboratory of Computational Intelligence, Key Laboratory of Cyberspace Big Data Intelligent Security, Ministry of Education, Sichuan-Chongqing Co-construction Key Laboratory of Digital Economy Intelligence and Key Laboratory of Big Data Intelligent Computing, Chongqing University of Posts and Telecommunications, 400065, Chongqing, China. · School of Computer Science and Technology, School of Cyber Security and Information Law, Chongqing University of Posts and Telecommunications, 400065, Chongqing, China. · Chongqing Key Laboratory of Brain-Inspired Cognitive Computing and Educational Rehabilitation for Children with Special Needs, Chongqing Normal University, Chongqing, 401331, China. +1

Apr 14, 2026J/K move · Enter open · S save

RoleMAG: Learning Neighbor Roles in Multimodal Graphs

Yilong Zuo, Xunkai Li, Zhihan Zhang, Ronghua Li+1

Beijing Institute of Technology, Beijing, China

Multimodal Graph Learning Graph Neural Networks Message Passing Neural Networks

Open paper AskPDF arXiv

Multimodal attributed graphs (MAGs) combine multimodal node attributes with structured relations. However, existing methods usually perform shared message passing on a single graph and implicitly assume that the same neighbors are equally useful for all modalities. In practice, neighbors that benefit one modality may interfere with another, blurring modality-specific signals under shared propagation. To address this issue, we propose RoleMAG, a multimodal graph framework that learns how different neighbors should participate in propagation. Concretely, RoleMAG distinguishes whether a neighbor should provide shared, complementary, or heterophilous signals, and routes them through separate propagation channels. This enables cross-modal completion from complementary neighbors while keeping heterophilous ones out of shared smoothing. Extensive experiments on three graph-centric MAG benchmarks show that RoleMAG achieves the best results on RedditS and Bili_Dance, while remaining competitive on Toys. Ablation, robustness, and efficiency analyses further support the effectiveness of the proposed role-aware propagation design. Our code is available at https://anonymous.4open.science/r/RoleMAG-7EE0/