17 citations · 22 across the 2 of their papers we have counts for
2 papers
cs.IR2023★ 17 cited
M2GNN: Metapath and Multi-interest Aggregated Graph Neural Network for Tag-based Cross-domain Recommendation
Zepeng Huai, Yuji Yang, Mengdi Zhang +3
Cross-domain recommendation (CDR) is an effective way to alleviate the data sparsity problem. Content-based CDR is one of the most promising branches since most kinds of products c…
hep-ph2022★ 5 cited
Attention to the strengths of physical interactions: Transformer and graph-based event classification for particle physics experiments
Luc Builtjes, Sascha Caron, Polina Moskvitina +4
A major task in particle physics is the measurement of rare signal processes. Even modest improvements in background rejection, at a fixed signal efficiency, can significantly enha…