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Graph Neural Networks
4495 directly classified papers
Papers per year
2006: 3
2009: 1
2010: 1
2011: 3
2012: 6
2013: 4
2014: 3
2015: 2
2016: 13
2017: 23
2018: 60
2019: 347
2020: 504
2021: 663
2022: 625
2023: 714
2024: 676
2025: 528
2026: 319
Papers
Multimodal Graph Representation Learning over Arbitrary Sets of Modalities
WACV 2026
Graph-Based Spectral Attention with Multi-Spectral Images for Illuminant Estimation
WACV 2026
AutoSew: A Geometric Approach to Stitching Prediction with Graph Neural Networks
WACV 2026
MemeWeaver: Inter-Meme Graph Reasoning for Sexism and Misogyny Detection
EACL 2026
DisGraph-RP: Graph-Augmented Temporal Modeling with Aspect-Based Contrastive Encoding of Discharge Summary for Readmission Prediction
EACL 2026
Skill Discovery for Software Scripting Automation via Offline Simulations with LLMs
EACL 2026
GeoHSAF: Geometric Hippocampus Shape Analysis Framework for Longitudinal Alzheimer's Disease Classification
WACV 2026
DOTGraph: CLIP-Driven Feature Disentanglement and Optimal Transport based Graph Learning for Few-Shot Segmentation
WACV 2026
Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection
WACV 2026
Bridging Attribution and Open-Set Detection using Graph-Augmented Instance Learning in Synthetic Speech
EACL 2026
Evidence Grounding vs. Memorization: Why Neural Semantics Matter for Knowledge Graph Fact Verification
EACL 2026
Mitigating Degree Bias in Hypergraphs via Attribute-as-Structure Approach
EACL 2026
Atom-level Adaptive Receptive Fields: A Pruning-Based Encoder for 2D Molecular Graphs (Student Abstract)
AAAI 2026
Motion-Aware Graph Fusion Network for 3D Human Pose Estimation
WACV 2026
Time-Series Anomaly Detection with Graph-Based Self-Supervised Learning and Foundation Models: Towards Real-World Applications
AAAI 2026
Improve Molecular Conformation Modeling with Geometric Deep Learning
AAAI 2026
Behavioral-Similarity and Clustering-Based Methods for Static Graph Estimation in Hybrid GNNs (Student Abstract)
AAAI 2026
TrustEnergy: A Unified Framework for Accurate and Reliable User-level Energy Usage Prediction
AAAI 2026
Graph-based Label-Efficient Learning: When Graph-Structured Data Meets Limited Labels
AAAI 2026
Generative Graphical Inverse Kinematics (Abstract Reprint)
AAAI 2026
Semantic Alignment of Malicious Question Based on Contrastive Semantic Networks and Data Augmentation (Abstract Reprint)
AAAI 2026
AquaSentinel: Next-Generation AI System Integrating Sensor Networks for Urban Underground Water Pipeline Anomaly Detection via Collaborative MoE-LLM Agent Architecture
AAAI 2026
Urban Incident Prediction with Graph Neural Networks: Integrating Government Ratings and Crowdsourced Reports
AAAI 2026
GraphVSSM: Graph Variational State-Space Model for Probabilistic Spatiotemporal Inference of Dynamic Exposure and Vulnerability for Regional Disaster Resilience Assessment
AAAI 2026
Building Instance Segmentation for Dense Urban Settlements
AAAI 2026
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