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Graph Neural Network

Papers

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Showing 151–175 of 3598 papers

TitleStatusHype
Geometric Reasoning in the Embedding Space—0
Deep Graph Reinforcement Learning for UAV-Enabled Multi-User Secure Communications—0
Refining Interactions: Enhancing Anisotropy in Graph Neural Networks with Language Semantics—0
Neural Approaches to SAT Solving: Design Choices and Interpretability—0
LGIN: Defining an Approximately Powerful Hyperbolic GNNCode0
Graph Neural Network-Based Predictive Modeling for Robotic Plaster Printing—0
Advances in Continual Graph Learning for Anti-Money Laundering Systems: A Comprehensive ReviewCode0
SuperEIO: Self-Supervised Event Feature Learning for Event Inertial OdometryCode1
Prediction of 30-day hospital readmission with clinical notes and EHR information—0
Data-driven modeling of fluid flow around rotating structures with graph neural networks—0
Few-Shot Graph Out-of-Distribution Detection with LLMs—0
A Comprehensive Benchmark for RNA 3D Structure-Function ModelingCode1
Symmetry-Informed Graph Neural Networks for Carbon Dioxide Isotherm and Adsorption Prediction in Aluminum-Substituted Zeolites—0
PowerGNN: A Topology-Aware Graph Neural Network for Electricity Grids—0
BioX-CPath: Biologically-driven Explainable Diagnostics for Multistain IHC Computational PathologyCode1
Multi-dataset and Transfer Learning Using Gene Expression Knowledge GraphsCode0
SE-GNN: Seed Expanded-Aware Graph Neural Network with Iterative Optimization for Semi-supervised Entity Alignment—0
MAGIC-VQA: Multimodal And Grounded Inference with Commonsense Knowledge for Visual Question Answering—0
Enhancing Steering Estimation with Semantic-Aware GNNs—0
Robustness of deep learning classification to adversarial input on GPUs: asynchronous parallel accumulation is a source of vulnerability—0
Ordered Topological Deep Learning: a Network Modeling Case Study—0
PETIMOT: A Novel Framework for Inferring Protein Motions from Sparse Data Using SE(3)-Equivariant Graph Neural Networks—0
Deep Polycuboid Fitting for Compact 3D Representation of Indoor Scenes—0
Efficient Data Selection for Training Genomic Perturbation Models—0
MIXPINN: Mixed-Material Simulations by Physics-Informed Neural Network—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1air0S1—Unverified