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Graph Sampling

Training GNNs or generating graph embeddings requires graph samples.

Papers

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Showing 76–100 of 101 papers

TitleStatusHype
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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