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ETT-CKGE: Efficient Task-driven Tokens for Continual Knowledge Graph Embedding.

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第一作者： Lijing,Zhu

第一单位： Bowling Green State University, Bowling Green OH 43403, USA.

作者： Lijing,Zhu ^[1] ; Qizhen,Lan ^[2] ; Qing,Tian ^[2] ; Wenbo,Sun ^[3] ; Li,Yang ^[4] ; Lu,Xia ^[5] ; Yixin,Xie ^[6] ; Xi,Xiao ^[2] ; Tiehang,Duan ^[7] ; Cui,Tao ^[7] ; Shuteng,Niu ^[8]

作者单位： Bowling Green State University, Bowling Green OH 43403, USA. ^[1] University of Alabama, Birmingham, AL 35294, USA. ^[2] University of Michigan, Ann Arbor, MI 48109, USA. ^[3] University of North Carolina, Charlotte, NC 28223, USA. ^[4] Michigan State University, East Lansing, MI 48824, USA. ^[5] Kennesaw State University, Kennesaw, GA 30144, USA. ^[6] Mayo Clinic, Jacksonville, FL 32066, USA. ^[7] Bowling Green State University, Bowling Green OH 43403, USA.;Mayo Clinic, Jacksonville, FL 32066, USA. ^[8]

关键词 Continual Knowledge Graph Learning Graph Completion Graph Representation Learning Knowledge Graph

DOI 10.1007/978-3-032-06106-5_28

PMID 41939724

发布时间 2026-04-07

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