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Graph Neural Network

Papers

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Showing 1001–1025 of 3598 papers

TitleStatusHype
Efficient Tuning and Inference for Large Language Models on Textual GraphsCode1
Product Manifold Representations for Learning on Biological PathwaysCode0
Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs—0
Edge Conditional Node Update Graph Neural Network for Multi-variate Time Series Anomaly Detection—0
MTRGL:Effective Temporal Correlation Discerning through Multi-modal Temporal Relational Graph Learning—0
Predicting SSH keys in Open SSH Memory dumps—0
Truck Parking Usage Prediction with Decomposed Graph Neural NetworksCode0
PatternPortrait: Draw Me Like One of Your Scribbles—0
Learning Dynamics from Multicellular Graphs with Deep Neural NetworksCode0
Knowledge Distillation on Spatial-Temporal Graph Convolutional Network for Traffic Prediction—0
Tensor-view Topological Graph Neural NetworkCode0
ADA-GNN: Atom-Distance-Angle Graph Neural Network for Crystal Material Property Prediction—0
Full-Body Motion Reconstruction with Sparse Sensing from Graph PerspectiveCode0
Connecting the Dots: Leveraging Spatio-Temporal Graph Neural Networks for Accurate Bangla Sign Language Recognition—0
Graph Edits for Counterfactual Explanations: A comparative study—0
MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction—0
Novel Representation Learning Technique using Graphs for Performance Analytics—0
Co-Pilot for Health: Personalized Algorithmic AI Nudging to Improve Health Outcomes—0
A Novel Deep Learning Approach Featuring Graph-Based Algorithm for Cell Segmentation and TrackingCode0
Predicting Viral Rumors and Vulnerable Users for Infodemic SurveillanceCode0
Inverse analysis of granular flows using differentiable graph neural network simulator—0
A novel hybrid time-varying graph neural network for traffic flow forecasting—0
GNN-LoFI: a Novel Graph Neural Network through Localized Feature-based Histogram IntersectionCode0
Spoofing Detection in the Physical Layer with Graph Neural Networks—0
A General Benchmark Framework is Dynamic Graph Neural Network Need—0
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Benchmark Results

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