Graph Neural Networks
5,491 papers
Papers per year
3
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3
7
4
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2
13
23
66
348
550
686
703
817
962
904
395
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Papers
Graph Query Networks for Object Detection with Automotive Radar
WACV 2026
Graph-Semantic Guided Learning for Virtual Immunohistochemistry Staining on Consecutive Histology Sections
AAAI 2026
Graph Smoothing for Enhanced Local Geometry Learning in Point Cloud Analysis
AAAI 2026
GraphTextack: A Realistic Black-Box Node Injection Attack on LLM-Enhanced GNNs
AAAI 2026
GraphULM: A Multi-Resolution CNN and GCN Framework for Ultrasound Localization Microscopy
MIDL 2026
GraphVLM: Benchmarking Vision Language Models for Multimodal Graph Learning
CVPR 2026
Graph VQ-Transformer (GVT): Fast and Accurate Molecular Generation via High-Fidelity Discrete Latents
AAAI 2026
GraphVSSM: Graph Variational State-Space Model for Probabilistic Spatiotemporal Inference of Dynamic Exposure and Vulnerability for Regional Disaster Resilience Assessment
AAAI 2026
GROVER: Graph-guided Representation of Omics and Vision with Expert Regulation for Adaptive Spatial Multi-omics Fusion
AAAI 2026
GUIC: Certified Graph Unlearning with Individual Fairness Guarantees
AAAI 2026
HC2-GNN: Hierarchical Graph Representation Learning for Efficient Text Classification
AAAI 2026
Heterogeneous Graph Neural Networks for Assumption-Based Argumentation
AAAI 2026
Heterophily-aware Contrastive Learning for Heterophilic Hypergraphs
AAAI 2026
HGATSolver: A Heterogeneous Graph Attention Solver for Fluid–Structure Interaction
AAAI 2026
Hg-I2P: Bridging Modalities for Generalizable Image-to-Point-Cloud Registration via Heterogeneous Graphs
CVPR 2026
Hierarchical Attention Network with Correction for Cross-Domain User Association
AAAI 2026
Hierarchical Frequency-Decomposition Graph Neural Networks for Road Network Representation Learning
AAAI 2026
High-Pass Matters: Theoretical Insights and Sheaflet-Based Design for Hypergraph Neural Networks
AAAI 2026
HiGoE: Hierarchical Graph of Evidence to Enhance Retrieval-Augmented Generation for Long-context Summarization
ACL 2026
HiLoMix: Robust High- and Low-Frequency Graph Learning Framework for Mixing Address Association
AAAI 2026
HINPool: A Unified Heterogeneous Graph Pooling Framework for Accurate Molecular and Protein Property Prediction
AAAI 2026
HodgeFormer: Transformers for Learnable Operators on Triangular Meshes through Data-Driven Hodge Matrices
WACV 2026
How to Make LMs Strong Node Classifiers?
EACL 2026
How Wide and How Deep? Mitigating Over-squashing of GNNs via Channel Capacity Constrained Estimation
AAAI 2026
HSA-Net: Hierarchical and Structure-Aware Framework for Efficient and Scalable Molecular Language Modeling
AAAI 2026