Fibroid
发表于 2025-3-26 23:56:03
Spatial-Temporal Attention Network for Temporal Knowledge Graph Completiontructural information from the egocentric network of each entity. Additionally, an .aptive .emporal .tention Mechanism (ADTAT) is utilized to flexibly model the correlation of entity representations in the time dimension. Finally, by combing our obtained representations with existing static KG compl
CHIDE
发表于 2025-3-27 04:02:52
http://reply.papertrans.cn/27/2635/263409/263409_32.png
cringe
发表于 2025-3-27 08:51:02
A Novel Embedding Model for Knowledge Graph Completion Based on Multi-Task Learningn the global representation of each triple element. Such global representations are then integrated into task-specific translational embedding models of each knowledge graph to preserve its transition property. We conduct an extensive empirical evaluation of multi-version . based on different transl
Progesterone
发表于 2025-3-27 10:46:32
http://reply.papertrans.cn/27/2635/263409/263409_34.png
摆动
发表于 2025-3-27 14:43:28
http://reply.papertrans.cn/27/2635/263409/263409_35.png
Landlocked
发表于 2025-3-27 21:14:41
http://reply.papertrans.cn/27/2635/263409/263409_36.png
享乐主义者
发表于 2025-3-27 22:26:21
https://doi.org/10.1007/978-1-4471-4640-7the third-party verifier can audit the integrity of ciphertext without downloading the whole encrypted data. Security analysis shows that our proposed scheme is provably secure under the random oracle model. An evaluation of performance shows that our proposed scheme is efficient in terms of computa
LAST
发表于 2025-3-28 03:09:55
http://reply.papertrans.cn/27/2635/263409/263409_38.png
蕨类
发表于 2025-3-28 10:05:03
Consumer Engineering, 1920s–1970s design an advanced algorithm .-core using a new method of traversing the search space based on trees to accelerate the searching procedure. For online queries, we optimize the approach with a new index to handle the online queries of community search over HINs. Extensive experiments on HINs are con
wall-stress
发表于 2025-3-28 10:48:51
https://doi.org/10.1007/978-3-030-14564-4edge information into their semantic features. We conduct extensive experiments to demonstrate the effectiveness of our . in leveraging the knowledge graph. The experimental results show that the . improves the state-of-the-art methods by 14.7% in terms of hits@3 in the offline evaluation and outper