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cs.LG2024
Federated Graph Learning for Cross-Domain Recommendation
Ziqi Yang, Zhaopeng Peng, Zihui Wang +6
Cross-domain recommendation (CDR) offers a promising solution to the data sparsity problem by enabling knowledge transfer across source and target domains. However, many recent CDR…
cs.LG2023
Urban Region Representation Learning with Attentive Fusion
Fengze Sun, Jianzhong Qi, Yanchuan Chang +3
An increasing number of related urban data sources have brought forth novel opportunities for learning urban region representations, i.e., embeddings. The embeddings describe laten…