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Graph Neural Network

Papers

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Showing 2451–2475 of 3598 papers

TitleStatusHype
A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning—0
TEP-GNN: Accurate Execution Time Prediction of Functional Tests using Graph Neural Networks—0
Data Augmentation for Graph Data: Recent Advancements—0
A Review of Knowledge Graph Completion—0
Data-Driven Approach to form Energy Resilient Smart Microgrids with Identification of Vulnerable Nodes in Active Electrical Distribution Network—0
Data augmentation on graphs for table type classificationCode0
FlexER: Flexible Entity Resolution for Multiple IntentsCode0
Grad-Align+: Empowering Gradual Network Alignment Using Attribute Augmentation—0
Object Detection in Aerial Images with Uncertainty-Aware Graph Network—0
Self-Supervised Pretraining of Graph Neural Network for the Retrieval of Related Mathematical Expressions in Scientific Articles—0
One Model, Any CSP: Graph Neural Networks as Fast Global Search Heuristics for Constraint SatisfactionCode0
Representation Learning of Knowledge Graph for Wireless Communication Networks—0
Representation Learning with Graph Neural Networks for Speech Emotion Recognition—0
Personalized Federated Recommendation via Joint Representation Learning, User Clustering, and Model Adaptation—0
Graph Neural Network Based Node Deployment for Throughput Enhancement—0
Robust Causal Graph Representation Learning against Confounding EffectsCode0
Debiasing Neighbor Aggregation for Graph Neural Network in Recommender Systems—0
AoI-based Temporal Attention Graph Neural Network for Popularity Prediction and Content Caching—0
AMinerGNN: Heterogeneous Graph Neural Network for Paper Click-through Rate Prediction with Fusion Query—0
Learnable Filters for Geometric Scattering Modules—0
STAR-GNN: Spatial-Temporal Video Representation for Content-based Retrieval—0
MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature DistributionCode0
GSim: A Graph Neural Network based Relevance Measure for Heterogeneous Graphs—0
Task Aligned Meta-learning based Augmented Graph for Cold-Start Recommendation—0
Partition Pooling for Convolutional Graph Network Applications in Particle PhysicsCode0
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Benchmark Results

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