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Graph Sampling

Training GNNs or generating graph embeddings requires graph samples.

Papers

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Showing 51–75 of 101 papers

TitleStatusHype
Efficient Signed Graph Sampling via Balancing & Gershgorin Disc Perfect Alignment—0
Evaluating Graph Signal Processing for Neuroimaging Through Classification and Dimensionality Reduction—0
Fast Graph Sampling for Short Video Summarization using Gershgorin Disc Alignment—0
Federated Graph Learning with Adaptive Importance-based Sampling—0
FedGraph: Federated Graph Learning with Intelligent Sampling—0
Folded Graph Signals: Sensing with Unlimited Dynamic Range—0
GCM-Net: Graph-enhanced Cross-Modal Infusion with a Metaheuristic-Driven Network for Video Sentiment and Emotion Analysis—0
GDM: Dual Mixup for Graph Classification with Limited Supervision—0
Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks—0
Point Cloud Sampling via Graph Balancing and Gershgorin Disc Alignment—0
Reconstruction-Cognizant Graph Sampling using Gershgorin Disc Alignment—0
Reducing Large Internet Topologies for Faster Simulations—0
Evaluating Visual Properties via Robust HodgeRank—0
Sampling for network function learning—0
Sampling From Large Graphs—0
Scaffold-Induced Molecular Graph (SIMG): Effective Graph Sampling Methods for High-Throughput Computational Drug Discovery—0
Simple yet Effective Graph Distillation via Clustering—0
STGIN: Spatial-Temporal Graph Interaction Network for Large-scale POI Recommendation—0
SynGraphy: Succinct Summarisation of Large Networks via Small Synthetic Representative Graphs—0
Text Graph Transformer for Document Classification—0
The Limits of Graph Samplers for Training Inductive Recommender Systems: Extended results—0
Towards joint graph learning and sampling set selection from data—0
Unsupervised Learning of Morphology with Graph Sampling—0
Impression-Informed Multi-Behavior Recommender System: A Hierarchical Graph Attention Approach—0
Interpretable A-posteriori Error Indication for Graph Neural Network Surrogate Models—0
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