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Graph Sampling

Training GNNs or generating graph embeddings requires graph samples.

Papers

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Showing 51–100 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
Graph Sampling for Scalable and Expressive Graph Neural Networks on Homophilic Graphs—0
Graph sampling with determinantal processes—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
Keyed Chaotic Dynamics for Privacy-Preserving Neural Inference—0
Learning Large-scale Network Embedding from Representative Subgraph—0
Graph Sampling Based Deep Metric Learning for Generalizable Person Re-IdentificationCode0
Characterizing the Efficiency of Graph Neural Network Frameworks with a Magnifying GlassCode0
Accurate, Efficient and Scalable Graph EmbeddingCode0
Are Negative Samples Necessary in Entity Alignment? An Approach with High Performance, Scalability and RobustnessCode0
Sampling From Large GraphsCode0
Empirical Risk Minimization and Stochastic Gradient Descent for Relational DataCode0
Hierarchical graph sampling based minibatch learning with chain preservation and variance reductionCode0
Fine-tuning Partition-aware Item Similarities for Efficient and Scalable RecommendationCode0
On Random Walk Based Graph SamplingCode0
AGS-GNN: Attribute-guided Sampling for Graph Neural NetworksCode0
Joint Network Topology Inference via a Shared Graphon ModelCode0
A Topology-aware Analysis of Graph Collaborative FilteringCode0
Learning Dynamic Preference Structure Embedding From Temporal NetworksCode0
Pre-Training on Dynamic Graph Neural NetworksCode0
Class-level Structural Relation Modelling and Smoothing for Visual Representation LearningCode0
Influence maximization in unknown social networks: Learning Policies for Effective Graph SamplingCode0
A Sampling-based Framework for Hypothesis Testing on Large Attributed GraphsCode0
Little Ball of Fur: A Python Library for Graph SamplingCode0
Reducing Large Internet Topologies for Faster SimulationsCode0
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