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Graph Neural Network

Papers

Showing 226250 of 3598 papers

TitleStatusHype
Cost Sensitive GNN-based Imbalanced Learning for Mobile Social Network Fraud DetectionCode1
An Attentive Graph Agent for Topology-Adaptive Cyber DefenceCode1
PyGim: An Efficient Graph Neural Network Library for Real Processing-In-Memory ArchitecturesCode1
An effective self-supervised framework for learning expressive molecular global representations to drug discoveryCode1
Exploiting Abstract Meaning Representation for Open-Domain Question AnsweringCode1
Accelerating amorphous polymer electrolyte screening by learning to reduce errors in molecular dynamics simulated propertiesCode1
Conformal Load Prediction with Transductive Graph AutoencodersCode1
ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text EmbeddingsCode1
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural NetworksCode1
FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network GenerationCode1
GREED: A Neural Framework for Learning Graph Distance FunctionsCode1
Few-Shot Graph Learning for Molecular Property PredictionCode1
A Neural Separation Algorithm for the Rounded Capacity InequalitiesCode1
Deep Graph Matching ConsensusCode1
Accurate and interpretable drug-drug interaction prediction enabled by knowledge subgraph learningCode1
Contrastive Cross-Domain Sequential RecommendationCode1
Contrastive Dual-Interaction Graph Neural Network for Molecular Property PredictionCode1
Contrastive Representation Learning for Dynamic Link Prediction in Temporal NetworksCode1
Convergent Graph SolversCode1
Fine-tuning Graph Neural Networks by Preserving Graph Generative PatternsCode1
Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal TransportCode1
Conversation Understanding using Relational Temporal Graph Neural Networks with Auxiliary Cross-Modality InteractionCode1
CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural NetworksCode1
FragNet: A Graph Neural Network for Molecular Property Prediction with Four Levels of InterpretabilityCode1
DeepDDS: deep graph neural network with attention mechanism to predict synergistic drug combinationsCode1
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Benchmark Results

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