PRE 发表于 2025-4-1 05:27:11
http://reply.papertrans.cn/59/5882/588138/588138_61.png轻信 发表于 2025-4-1 07:48:36
Sheila A. Mcllraithproposed and focus on topological structure alone. In addition to topology, node contents exist in real-world networks, and may help for community detection. Recently, some studies try to combine topological structure and node contents. However, it is difficult to address an inherent situation in reobligation 发表于 2025-4-1 10:55:48
http://reply.papertrans.cn/59/5882/588138/588138_63.png倔强一点 发表于 2025-4-1 15:03:26
Yves Lespérance,Kenneth Tam,Michael JenkinNatural Language Processing (NLP) tasks. However, these models yield an unsatisfactory results in domain scenarios, particularly in specialized fields like biomedical contexts, where they cannot amass sufficient semantics of domain terms. To tackle this problem, we present a semantic learning methodAfflict 发表于 2025-4-1 20:51:53
http://reply.papertrans.cn/59/5882/588138/588138_65.png遗留之物 发表于 2025-4-2 02:06:09
Fangzhen Lin methods focus on single-type item recommendations and offer limited explainability of their recommendations. In this paper, we propose a novel framework knowledge graph transformer network (KGTN) for explainable multiple types of item recommendation, which aims to recommend items with different for