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Graph Neural Networks

4,522 papers

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Papers

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

Resilient UAV Swarm with Fast Connectivity Recovery and Extensive Coverage AAAI 2026

HSA-Net: Hierarchical and Structure-Aware Framework for Efficient and Scalable Molecular Language Modeling AAAI 2026

Physically-Informed Flow Matching with Graph Neural Networks for Complex Fluid Dynamics AAAI 2026

Enhancing Multimodal Misinformation Detection by Replaying the Whole Story from Image Modality Perspective AAAI 2026

Unlocking Dynamic Inter-Client Spatial Dependencies: A Federated Spatio-temporal Graph Learning Method for Traffic Flow Forecasting AAAI 2026

Rejoining Precious Artifacts: Efficiently Bone Stick Rejoining Based Massive Fragment Images by Contour, Script, and Texture AAAI 2026

MMPG: MoE-based Adaptive Multi-Perspective Graph Fusion for Protein Representation Learning AAAI 2026