309 citations · 498 across the 16 of their papers we have counts for
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cs.LG2026
The Post-GCN Decade Revisited: Curvature-Stratified Evaluation of Relational Learning
Shuo Wang, Xiangyu Wang, Quanxin Wang +9
Current evaluation practices in relational learning rely heavily on flat leaderboards that average performance across heterogeneous datasets, implicitly assuming a uniform underlyi…
cs.LG2017★ 84 cited
Peephole: Predicting Network Performance Before Training
Boyang Deng, Junjie Yan, Dahua Lin
The quest for performant networks has been a significant force that drives the advancements of deep learning in recent years. While rewarding, improving network design has never be…