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Graph Neural Network

Papers

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Showing 1126–1150 of 3598 papers

TitleStatusHype
Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural Network Training—0
Enhancing Persona Classification in Dialogue Systems: A Graph Neural Network Approach—0
Graph-Guided Textual Explanation Generation Framework—0
Pretrained Event Classification Model for High Energy Physics Analysis—0
WaveGNN: Modeling Irregular Multivariate Time Series for Accurate Predictions—0
Brain-inspired Chaotic Graph Backpropagation for Large-scale Combinatorial Optimization—0
A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks—0
TransferLight: Zero-Shot Traffic Signal Control on any Road-Network—0
Opinion de-polarization of social networks with GNNs—0
Search Strategy Generation for Branch and Bound Using Genetic Programming—0
DistrictNet: Decision-aware learning for geographical districtingCode0
Cluster-Enhanced Federated Graph Neural Network for Recommendation—0
Deep Learning-Enhanced Preconditioning for Efficient Conjugate Gradient Solvers in Large-Scale PDE Systems—0
GSM: A GNN-based Space-MIMO Framework for Direct-to-Cell Communications—0
Stock Type Prediction Model Based on Hierarchical Graph Neural Network—0
MISFEAT: Feature Selection for Subgroups with Systematic Missing Data—0
GL-Fusion: Rethinking the Combination of Graph Neural Network and Large Language model—0
Long-Term Auto-Regressive Prediction using Lightweight AI Models: Adams-Bashforth Time Integration with Adaptive Multi-Step Rollout—0
Unifying Dual-Space Embedding for Entity Alignment via Contrastive LearningCode0
GABAR: Graph Attention-Based Action Ranking for Relational Policy Learning—0
Graph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation SystemsCode0
Machine Theory of Mind for Autonomous Cyber-Defence—0
Language Model Meets Prototypes: Towards Interpretable Text Classification Models through Prototypical Networks—0
An Automated Data Mining Framework Using Autoencoders for Feature Extraction and Dimensionality Reduction—0
Superhypergraph Neural Networks and Plithogenic Graph Neural Networks: Theoretical Foundations—0
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Benchmark Results

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