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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
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
Learning Parameters for Balanced Index Influence Maximization—0
Light-weight End-to-End Graph Interest Network for CTR Prediction in E-commerce Search—0
MD-GCN: A Multi-Scale Temporal Dual Graph Convolution Network for Traffic Flow Prediction—0
Neighborhood Random Walk Graph Sampling for Regularized Bayesian Graph Convolutional Neural Networks—0
Neuro-Symbolic Procedural Planning with Commonsense Prompting—0
Accelerating Graph Sampling for Graph Machine Learning using GPUs—0
Node Copying: A Random Graph Model for Effective Graph Sampling—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
Evaluating Visual Properties via Robust HodgeRank—0
Sampling for network function learning—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
Graph Sampling for Matrix Completion Using Recurrent Gershgorin Disc Shift—0
Graph sampling for node embedding—0
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