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Graph Neural Network

Papers

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Showing 551–575 of 3598 papers

TitleStatusHype
Sequential Classification of MisinformationCode0
Up-sampling-only and Adaptive Mesh-based GNN for Simulating Physical Systems—0
Global Stock Market Volatility Forecasting Incorporating Dynamic Graphs and All Trading DaysCode0
Solving Stochastic Orienteering Problems with Chance Constraints Using a GNN Powered Monte Carlo Tree Search—0
Do We Trust What They Say or What They Do? A Multimodal User Embedding Provides Personalized Explanations—0
Word and Phrase Features in Graph Convolutional Network for Automatic Question Classification—0
A Lesion-aware Edge-based Graph Neural Network for Predicting Language Ability in Patients with Post-stroke Aphasia—0
Large-scale Urban Facility Location Selection with Knowledge-informed Reinforcement Learning—0
Solving Integrated Process Planning and Scheduling Problem via Graph Neural Network Based Deep Reinforcement LearningCode1
Detecting Homeomorphic 3-manifolds via Graph Neural NetworksCode0
Curvy: A Parametric Cross-section based Surface Reconstruction—0
Graph neural network-based lithium-ion battery state of health estimation using partial discharging curve—0
A Homogeneous Graph Neural Network for Precoding and Power Allocation in Scalable Wireless Networks—0
H-SGANet: Hybrid Sparse Graph Attention Network for Deformable Medical Image Registration—0
TG-PhyNN: An Enhanced Physically-Aware Graph Neural Network framework for forecasting Spatio-Temporal Data—0
SFR-GNN: Simple and Fast Robust GNNs against Structural Attacks—0
Str-L Pose: Integrating Point and Structured Line for Relative Pose Estimation in Dual-Graph—0
Temporal Graph Neural Network-Powered Paper Recommendation on Dynamic Citation Networks—0
XG-NID: Dual-Modality Network Intrusion Detection using a Heterogeneous Graph Neural Network and Large Language ModelCode1
Understanding GNNs for Boolean Satisfiability through Approximation Algorithms—0
Graph and Sequential Neural Networks in Session-based Recommendation: A Survey—0
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold—0
PAGE: Parametric Generative Explainer for Graph Neural NetworkCode0
A proof of contribution in blockchain using game theoretical deep learning model—0
Optimizing Luxury Vehicle Dealership Networks: A Graph Neural Network Approach to Site SelectionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1air0S1—Unverified