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Graph Sampling

Training GNNs or generating graph embeddings requires graph samples.

Papers

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Showing 1–50 of 101 papers

TitleStatusHype
Keyed Chaotic Dynamics for Privacy-Preserving Neural Inference—0
Simple yet Effective Graph Distillation via Clustering—0
Beyond Self-Repellent Kernels: History-Driven Target Towards Efficient Nonlinear MCMC on General Graphs—0
The Limits of Graph Samplers for Training Inductive Recommender Systems: Extended results—0
Graph Learning at Scale: Characterizing and Optimizing Pre-Propagation GNNsCode1
Distributed Graph Neural Network Inference With Just-In-Time Compilation For Industry-Scale Graphs—0
Hierarchical graph sampling based minibatch learning with chain preservation and variance reductionCode0
GraphSOS: Graph Sampling and Order Selection to Help LLMs Understand Graphs Better—0
BMG-Q: Localized Bipartite Match Graph Attention Q-Learning for Ride-Pooling Order Dispatch—0
Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks—0
Towards joint graph learning and sampling set selection from data—0
Graph Sampling for Scalable and Expressive Graph Neural Networks on Homophilic Graphs—0
GCM-Net: Graph-enhanced Cross-Modal Infusion with a Metaheuristic-Driven Network for Video Sentiment and Emotion Analysis—0
Federated Graph Learning with Adaptive Importance-based Sampling—0
Retrofitting Temporal Graph Neural Networks with TransformerCode1
Bearing Fault Diagnosis using Graph Sampling and Aggregation Network—0
Unveiling Privacy Vulnerabilities: Investigating the Role of Structure in Graph Data—0
Edge Sampling of Graphs: Graph Signal Processing Approach With Edge Smoothness—0
Light-weight End-to-End Graph Interest Network for CTR Prediction in E-commerce Search—0
AGS-GNN: Attribute-guided Sampling for Graph Neural NetworksCode0
DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training—0
A Sampling-based Framework for Hypothesis Testing on Large Attributed GraphsCode0
Accelerating Scientific Discovery with Generative Knowledge Extraction, Graph-Based Representation, and Multimodal Intelligent Graph ReasoningCode3
GLISP: A Scalable GNN Learning System by Exploiting Inherent Structural Properties of Graphs—0
A Poincaré Inequality and Consistency Results for Signal Sampling on Large Graphs—0
Interpretable A-posteriori Error Indication for Graph Neural Network Surrogate Models—0
Classification of developmental and brain disorders via graph convolutional aggregation—0
Cooperative Minibatching in Graph Neural NetworksCode0
Causal structure learning with momentum: Sampling distributions over Markov Equivalence Classes of DAGsCode2
GRAPES: Learning to Sample Graphs for Scalable Graph Neural NetworksCode1
Graph Neural Network for Stress Predictions in Stiffened Panels Under Uniform Loading—0
GDM: Dual Mixup for Graph Classification with Limited Supervision—0
Impression-Informed Multi-Behavior Recommender System: A Hierarchical Graph Attention Approach—0
STGIN: Spatial-Temporal Graph Interaction Network for Large-scale POI Recommendation—0
A Topology-aware Analysis of Graph Collaborative FilteringCode0
Class-level Structural Relation Modelling and Smoothing for Visual Representation LearningCode0
Graph Sampling-based Meta-Learning for Molecular Property PredictionCode1
Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage AccessesCode1
Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate CommunicationCode1
Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving with Workload AwarenessCode2
SynGraphy: Succinct Summarisation of Large Networks via Small Synthetic Representative Graphs—0
MD-GCN: A Multi-Scale Temporal Dual Graph Convolution Network for Traffic Flow Prediction—0
Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph MatchingCode1
Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph GenerationCode1
Dynamic Sensor Placement Based on Sampling Theory for Graph Signals—0
Characterizing the Efficiency of Graph Neural Network Frameworks with a Magnifying GlassCode0
Efficient Directed Graph Sampling via Gershgorin Disc Alignment—0
Graph sampling for node embedding—0
Joint Network Topology Inference via a Shared Graphon ModelCode0
Sampling for network function learning—0
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