2 papers
cs.LG2025
Enhanced Pre-training of Graph Neural Networks for Million-Scale Heterogeneous Graphs
Shengyin Sun, Chen Ma, Jiehao Chen
In recent years, graph neural networks (GNNs) have facilitated the development of graph data mining. However, training GNNs requires sufficient labeled task-specific data, which is…
cs.LG2025
Beyond Models! Explainable Data Valuation and Metric Adaption for Recommendation
Renqi Jia, Xiaokun Zhang, Bowei He +4
User behavior records serve as the foundation for recommender systems. While the behavior data exhibits ease of acquisition, it often suffers from varying quality. Current methods…