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Graph Neural Network

Papers

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Showing 1676–1700 of 3598 papers

TitleStatusHype
Global-Aware Enhanced Spatial-Temporal Graph Recurrent Networks: A New Framework For Traffic Flow Prediction—0
CTAGE: Curvature-Based Topology-Aware Graph Embedding for Learning Molecular Representations—0
ATGNN: Audio Tagging Graph Neural Network—0
Global Confidence Degree Based Graph Neural Network for Financial Fraud Detection—0
HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multitask Learning—0
Curriculum Learning in Job Shop Scheduling using Reinforcement Learning—0
Hepatocellular Carcinoma Intra-arterial Treatment Response Prediction for Improved Therapeutic Decision-Making—0
GL-Fusion: Rethinking the Combination of Graph Neural Network and Large Language model—0
Crystal Twins: Self-supervised Learning for Crystalline Material Property Prediction—0
ATFLRec: A Multimodal Recommender System with Audio-Text Fusion and Low-Rank Adaptation via Instruction-Tuned Large Language Model—0
A Model-based GNN for Learning Precoding—0
A Graph Neural Network deep-dive into successful counterattacks—0
GITSR: Graph Interaction Transformer-based Scene Representation for Multi Vehicle Collaborative Decision-making—0
Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification—0
Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning—0
Heterogeneous Graph Neural Network for Recommendation—0
Heterogeneous Graph Neural Network for Personalized Session-Based Recommendation with User-Session Constraints—0
GITO: Graph-Informed Transformer Operator for Learning Complex Partial Differential Equations—0
GInX-Eval: Towards In-Distribution Evaluation of Graph Neural Network Explanations—0
A Temporal Graph Neural Network for Cyber Attack Detection and Localization in Smart Grids—0
GINA: Neural Relational Inference From Independent Snapshots—0
CrysAtom: Distributed Representation of Atoms for Crystal Property Prediction—0
ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation—0
1-D Convolutional Graph Convolutional Networks for Fault Detection in Distributed Energy Systems—0
Improving Generalization of Deep Reinforcement Learning-based TSP Solvers—0
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Benchmark Results

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