Systematic Sampling: What It Is, Pros and Cons

Systematic sampling is straightforward and low risk, offering better control. However, it may introduce sampling errors and ...
Transformer on MSNOpinion

Against the METR graph

METR’s benchmark has become a bellwether of AI capability growth, but its design isn’t up to the task, argues Nathan Witkin ...
EurekAlert!

Chongqing Medical University team: dual-branch graph attention network enables personalized prediction of ECT efficacy in adolescent depression

Major Depressive Disorder (MDD) is a leading cause of disability among adolescents, yet the efficacy of Electroconvulsive ...
IEEE

Community-Imbalanced Graph Sampling

Abstract: A community-imbalanced graph refers to a graph containing multiple communities with large differences in node and edge scales. Graph sampling is a widely used graph reduction technique to ...
IEEE

E-RNS : Enhancing Negative Sample Quality from Gradient Perspective for Graph Recommendation

Abstract: Bayesian Personalized Ranking (BPR) is a widely used optimization function in GNN-based recommender systems, and negative samples are usually obtained through the Random Negative Sampling ...