SOTAVerified

Graph Sampling

Training GNNs or generating graph embeddings requires graph samples.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 31–40 of 101 papers

TitleStatusHype
Learning Dynamic Preference Structure Embedding From Temporal NetworksCode0
Influence maximization in unknown social networks: Learning Policies for Effective Graph SamplingCode0
On Random Walk Based Graph SamplingCode0
A Sampling-based Framework for Hypothesis Testing on Large Attributed GraphsCode0
Cooperative Minibatching in Graph Neural NetworksCode0
Hierarchical graph sampling based minibatch learning with chain preservation and variance reductionCode0
Class-level Structural Relation Modelling and Smoothing for Visual Representation LearningCode0
Are Negative Samples Necessary in Entity Alignment? An Approach with High Performance, Scalability and RobustnessCode0
Characterizing the Efficiency of Graph Neural Network Frameworks with a Magnifying GlassCode0
Graph Sampling Based Deep Metric Learning for Generalizable Person Re-IdentificationCode0
Show:102550
← PrevPage 4 of 11Next →

No leaderboard results yet.