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Graph Neural Network

Papers

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Showing 2676–2700 of 3598 papers

TitleStatusHype
Will More Expressive Graph Neural Networks do Better on Generative Tasks?—0
Wind Turbine Gearbox Fault Detection Based on Sparse Filtering and Graph Neural Networks—0
Wireless 3D Point Cloud Delivery Using Deep Graph Neural Networks—0
Wireless Power Control via Counterfactual Optimization of Graph Neural Networks—0
Word and Phrase Features in Graph Convolutional Network for Automatic Question Classification—0
World of Forms: Deformable Geometric Templates for One-Shot Surface Meshing in Coronary CT Angiography—0
XFedHunter: An Explainable Federated Learning Framework for Advanced Persistent Threat Detection in SDN—0
XG-BoT: An Explainable Deep Graph Neural Network for Botnet Detection and Forensics—0
XGV-BERT: Leveraging Contextualized Language Model and Graph Neural Network for Efficient Software Vulnerability Detection—0
YOSO: You-Only-Sample-Once via Compressed Sensing for Graph Neural Network Training—0
Your Graph Recommender is Provably a Single-view Graph Contrastive Learning—0
ZeroShotCeres: Zero-Shot Relation Extraction from Semi-Structured Webpages—0
Zoom in to where it matters: a hierarchical graph based model for mammogram analysis—0
Adversarial Defense Framework for Graph Neural Network—0
Large-Language-Model Empowered Dose Volume Histogram Prediction for Intensity Modulated Radiotherapy—0
Large Language Model Meets Graph Neural Network in Knowledge Distillation—0
Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs—0
Foundation Models to the Rescue: Deadlock Resolution in Connected Multi-Robot Systems—0
Large-scale 3D point cloud representations via graph inception networks with applications to autonomous driving—0
Large Scale Distributed Collaborative Unlabeled Motion Planning with Graph Policy Gradients—0
Large-scale Pretraining Improves Sample Efficiency of Active Learning based Molecule Virtual Screening—0
Large-scale Urban Facility Location Selection with Knowledge-informed Reinforcement Learning—0
Lattice Convolutional Networks for Learning Ground States of Quantum Many-Body Systems—0
LaundroGraph: Self-Supervised Graph Representation Learning for Anti-Money Laundering—0
Layer-stacked Attention for Heterogeneous Network Embedding—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1air0S1—Unverified