2 papers
cs.LG2026
Cardinality-Decomposed Loss: Matching Training Objectives to Relation Structure in Heterogeneous Recommendation Graphs
Parul Maheshwari, Amulya Paruchuri, Yiqing Zou +3
Graph Neural Networks trained on heterogenous bipartite graphs form a common basis in recommendation systems. These graphs often express relations that vary in cardinality, for exa…
cs.LG2026
Meta Dynamic Graph for Traffic Flow Prediction
Yiqing Zou, Hanning Yuan, Qianyu Yang +3
Traffic flow prediction is a typical spatio-temporal prediction problem and has a wide range of applications. The core challenge lies in modeling the underlying complex spatio-temp…