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Graph Neural Network

Papers

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Showing 2176–2200 of 3598 papers

TitleStatusHype
PIDGeuN: Graph Neural Network-Enabled Transient Dynamics Prediction of Networked Microgrids Through Full-Field Measurement—0
PI-GNN: Towards Robust Semi-Supervised Node Classification against Noisy Labels—0
PLM-GNN: A Webpage Classification Method based on Joint Pre-trained Language Model and Graph Neural Network—0
Poincaré Heterogeneous Graph Neural Networks for Sequential Recommendation—0
Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks—0
PolarMOT: How Far Can Geometric Relations Take Us in 3D Multi-Object Tracking?—0
Polynomial Graph Convolutional Networks—0
Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis—0
Pose Modulated Avatars from Video—0
Power Allocation for Device-to-Device Interference Channel Using Truncated Graph Transformers—0
Power Constrained Autotuning using Graph Neural Networks—0
PowerGNN: A Topology-Aware Graph Neural Network for Electricity Grids—0
Power grid operational risk assessment using graph neural network surrogates—0
PPT-GNN: A Practical Pre-Trained Spatio-Temporal Graph Neural Network for Network Security—0
Predicting building types and functions at transnational scale—0
Predicting Corporate Risk by Jointly Modeling Company Networks and Dialogues in Earnings Conference Calls—0
Predicting Drug-Drug Interactions Using Knowledge Graphs—0
Predicting Lattice Phonon Vibrational Frequencies Using Deep Graph Neural Networks—0
Predicting Material Properties Using a 3D Graph Neural Network with Invariant Local Descriptors—0
Predicting Molecule-Target Interaction by Learning Biomedical Network and Molecule Representations—0
Predicting SSH keys in Open SSH Memory dumps—0
Predicting ulcer in H&E images of inflammatory bowel disease using domain-knowledge-driven graph neural network—0
Prediction of 30-day hospital readmission with clinical notes and EHR information—0
Prediction of the electron density of states for crystalline compounds with Atomistic Line Graph Neural Networks (ALIGNN)—0
Prediction of the Most Fire-Sensitive Point in Building Structures with Differentiable Agents for Thermal Simulators—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1air0S1—Unverified