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Graph Neural Network

Papers

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Showing 1151–1175 of 3598 papers

TitleStatusHype
Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation—0
Morphological-Symmetry-Equivariant Heterogeneous Graph Neural Network for Robotic Dynamics LearningCode0
Graph-to-SFILES: Control structure prediction from process topologies using generative artificial intelligence—0
A Self-Explainable Heterogeneous GNN for Relational Deep LearningCode0
RL-MILP Solver: A Reinforcement Learning Approach for Solving Mixed-Integer Linear Programs with Graph Neural Networks—0
GRU-PFG: Extract Inter-Stock Correlation from Stock Factors with Graph Neural NetworkCode0
Integrating Functionalities To A System Via Autoencoder Hippocampus Network—0
Graph Neural Network for Cerebral Blood Flow Prediction With Clinical Datasets—0
Learning optimal objective values for MILPCode0
Epidemiology-informed Graph Neural Network for Heterogeneity-aware Epidemic Forecasting—0
Knowledge-aware Evolutionary Graph Neural Architecture SearchCode0
GraphSubDetector: Time Series Subsequence Anomaly Detection via Density-Aware Adaptive Graph Neural Network—0
A Graph Neural Network deep-dive into successful counterattacks—0
A Data-Driven Approach to Dataflow-Aware Online Scheduling for Graph Neural Network Inference—0
TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation LearningCode0
GeoScatt-GNN: A Geometric Scattering Transform-Based Graph Neural Network Model for Ames Mutagenicity Prediction—0
Learning Pore-scale Multi-phase Flow from Experimental Data with Graph Neural Network—0
Heterophilic Graph Neural Networks Optimization with Causal Message-passing—0
Advancing Heatwave Forecasting via Distribution Informed-Graph Neural Networks (DI-GNNs): Integrating Extreme Value Theory with GNNs—0
Graph neural network framework for energy mapping of hybrid monte-carlo molecular dynamics simulations of Medium Entropy Alloys—0
ORID: Organ-Regional Information Driven Framework for Radiology Report Generation—0
Conditional Distribution Learning on GraphsCode0
Estimating Dark Matter Halo Masses in Simulated Galaxy Clusters with Graph Neural Networks—0
GNNAS-Dock: Budget Aware Algorithm Selection with Graph Neural Networks for Molecular Docking—0
Eradicating Social Biases in Sentiment Analysis using Semantic Blinding and Semantic Propagation Graph Neural Networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1air0S1—Unverified