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Graph Neural Network

Papers

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Showing 301–325 of 3598 papers

TitleStatusHype
Heterogeneous Graph Pre-training Based Model for Secure and Efficient Prediction of Default Risk Propagation among Bond Issuers—0
GraphI2P: Image-to-Point Cloud Registration with Exploring Pattern of Correspondence via Graph Learning—0
Graph-Embedded Structure-Aware Perceptual Hashing for Neural Network Protection and Piracy Detection—0
Multi-modal Topology-embedded Graph Learning for Spatially Resolved Genes Prediction from Pathology Images with Prior Gene Similarity Information—0
DVHGNN: Multi-Scale Dilated Vision HGNN for Efficient Vision Recognition—0
Graph Neural Network Combining Event Stream and Periodic Aggregation for Low-Latency Event-based Vision—0
FastCHGNet: Training one Universal Interatomic Potential to 1.5 Hours with 32 GPUs—0
Overcoming Class Imbalance: Unified GNN Learning with Structural and Semantic Connectivity Representations—0
ViDTA: Enhanced Drug-Target Affinity Prediction via Virtual Graph Nodes and Attention-based Feature Fusion—0
ERGNN: Spectral Graph Neural Network With Explicitly-Optimized Rational Graph Filters—0
Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics—0
NoiseHGNN: Synthesized Similarity Graph-Based Neural Network For Noised Heterogeneous Graph Representation LearningCode0
GIMS: Image Matching System Based on Adaptive Graph Construction and Graph Neural NetworkCode1
Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph RepresentationCode3
LASE: Learned Adjacency Spectral EmbeddingsCode0
Rethinking Cancer Gene Identification through Graph Anomaly AnalysisCode0
Distributed Cooperative Positioning in Dense Wireless Networks: A Neural Network Enhanced Fast Convergent Parametric Message Passing Method—0
Multi-atlas Ensemble Graph Neural Network Model For Major Depressive Disorder Detection Using Functional MRI Data—0
Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-TreesCode0
DCOR: Anomaly Detection in Attributed Networks via Dual Contrastive Learning Reconstruction—0
SGAC: A Graph Neural Network Framework for Imbalanced and Structure-Aware AMP Classification—0
Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information BottleneckCode1
Investigating Relational State Abstraction in Collaborative MARLCode0
Graph-neural-network predictions of solid-state NMR parameters from spherical tensor decomposition—0
Training Graph Neural Networks Using Non-Robust Samples—0
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Benchmark Results

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