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Graph Neural Network

Papers

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Showing 3226–3250 of 3598 papers

TitleStatusHype
KS-GNN: Keywords Search over Incomplete Graphs via Graphs Neural Network—0
Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification—0
Label-invariant Augmentation for Semi-Supervised Graph Classification—0
Label-Specific Dual Graph Neural Network for Multi-Label Text Classification—0
Language Modeling with Graph Temporal Convolutional Networks—0
Language Model Meets Prototypes: Towards Interpretable Text Classification Models through Prototypical Networks—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
Layout-aware Webpage Quality Assessment—0
LayoutXLM vs. GNN: An Empirical Evaluation of Relation Extraction for Documents—0
LBM-GNN: Graph Neural Network Enhanced Lattice Boltzmann Method—0
LB-SimTSC: An Efficient Similarity-Aware Graph Neural Network for Semi-Supervised Time Series Classification—0
LDSF: Lightweight Dual-Stream Framework for SAR Target Recognition by Coupling Local Electromagnetic Scattering Features and Global Visual Features—0
Learn2Aggregate: Supervised Generation of Chvátal-Gomory Cuts Using Graph Neural Networks—0
Learnable Filters for Geometric Scattering Modules—0
Learn from Concepts: Towards the Purified Memory for Few-shot Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1air0S1—Unverified