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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
RABot: Reinforcement-Guided Graph Augmentation for Imbalanced and Noisy Social Bot Detection
AAAI 2026
HGATSolver: A Heterogeneous Graph Attention Solver for Fluid–Structure Interaction
AAAI 2026
Apo2Mol: 3D Molecule Generation via Dynamic Pocket-Aware Diffusion Models
AAAI 2026
Personality-guided Public-Private Domain Disentangled Hypergraph-Former Network for Multimodal Depression Detection
AAAI 2026
Learning Personalised Human Internal Cognition from External Expressive Behaviours for Real Personality Recognition
AAAI 2026
Learning Structurally Stabilized Representations for Lossless DNA Storage
AAAI 2026
ViG-RAG: Video-aware Graph Retrieval-Augmented Generation via Temporal and Semantic Hybrid Reasoning
AAAI 2026
Physical-regularized Hierarchical Generative Model for Metallic Glass Structural Generation and Energy Prediction
AAAI 2026
DyC-STG: Dynamic Causal Spatio-Temporal Graph Network for Real-time Data Credibility Analysis in IoT
AAAI 2026
Light but Sharp: SlimSTAD for Real-Time Action Detection from Sensor Data
AAAI 2026
Topology-Enhanced and Label Correlation-Aware Model for Protein-Protein Interaction Prediction
AAAI 2026
Transferable Hypergraph Attack via Injecting Nodes into Pivotal Hyperedges
AAAI 2026
Directing Uncertainty-Aware Information Flow for Robust Diffusion Prediction
AAAI 2026
Revisiting the Canonicalization for Fast and Accurate Crystal Tensor Property Prediction
AAAI 2026
Magnitude-Modulated Equivariant Adapter for Parameter-Efficient Fine-Tuning of Equivariant Graph Neural Networks
AAAI 2026
Targeted Pathway Inference for Biological Knowledge Bases via Graph Learning and Explanation
AAAI 2026
BugSweeper: Function-Level Detection of Smart Contract Vulnerabilities Using Graph Neural Networks
AAAI 2026
Learning Cell-Aware Hierarchical Multi-Modal Representations for Robust Molecular Modeling
AAAI 2026
PLA-MGRA: Multi-Granularity and Relation-Aware Learning for Efficient and Generalizable Protein-Ligand Binding Affinity Prediction
AAAI 2026
Factorization-in-Loop:Proximal Fill-in Minimization for Sparse Matrix Reordering
AAAI 2026
When Genes Speak: A Semantic-Guided Framework for Spatially Resolved Transcriptomics Data Clustering
AAAI 2026
DynamicRTL: RTL Representation Learning for Dynamic Circuit Behavior
AAAI 2026
BDD2Seq: Enabling Scalable Reversible-Circuit Synthesis via Graph-to-Sequence Learning
AAAI 2026
The GATTACA Framework: Graph Neural Network-Based Reinforcement Learning for Controlling Biological Networks
AAAI 2026
Interpretable and Robust Behavior Abstraction via Environment-Disentangled Heterogeneous Graph
AAAI 2026
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