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Graph Neural Network

Papers

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Showing 2151–2200 of 3598 papers

TitleStatusHype
Pathology-genomic fusion via biologically informed cross-modality graph learning for survival analysis—0
Path Planning based on 2D Object Bounding-box—0
PatternPortrait: Draw Me Like One of Your Scribbles—0
PCQA-GRAPHPOINT: Efficients Deep-Based Graph Metric For Point Cloud Quality Assessment—0
PC-RGNN: Point Cloud Completion and Graph Neural Network for 3D Object Detection—0
PDP: A General Neural Framework for Learning SAT Solvers—0
Peer-inspired Student Performance Prediction in Interactive Online Question Pools with Graph Neural Network—0
PerFedRec++: Enhancing Personalized Federated Recommendation with Self-Supervised Pre-Training—0
Performance Optimization using Multimodal Modeling and Heterogeneous GNN—0
PerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep Learning Models on Edge Devices—0
Perseus: Leveraging Common Data Patterns with Curriculum Learning for More Robust Graph Neural Networks—0
Personalized Federated Recommendation via Joint Representation Learning, User Clustering, and Model Adaptation—0
PersonaSAGE: A Multi-Persona Graph Neural Network—0
Person Re-identification with Deep Similarity-Guided Graph Neural Network—0
PETIMOT: A Novel Framework for Inferring Protein Motions from Sparse Data Using SE(3)-Equivariant Graph Neural Networks—0
PHLP: Sole Persistent Homology for Link Prediction - Interpretable Feature Extraction—0
PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network—0
Physics-Guided Graph Neural Networks for Real-time AC/DC Power Flow Analysis—0
Physics-Guided Multi-View Graph Neural Network for Schizophrenia Classification via Structural-Functional Coupling—0
Physics-Informed GNN for non-linear constrained optimization: PINCO a solver for the AC-optimal power flow—0
Physics-informed Graphical Neural Network for Power System State Estimation—0
PPGN: Physics-Preserved Graph Networks for Real-Time Fault Location in Distribution Systems with Limited Observation and Labels—0
Physics-Informed Graph Neural Network for Spatial-temporal Production Forecasting—0
Physics-Informed Graph Neural Network for Dynamic Reconfiguration of Power Systems—0
PICA: Physics-Integrated Clothed Avatar—0
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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