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pro vyhledávání: '"Zhou, Gengxian"'
Autor:
Luo, Haoran, E, Haihong, Yang, Yuhao, Zhou, Gengxian, Guo, Yikai, Yao, Tianyu, Tang, Zichen, Lin, Xueyuan, Wan, Kaiyang
Publikováno v:
AAAI 2023
Complex query answering (CQA) is an essential task for multi-hop and logical reasoning on knowledge graphs (KGs). Currently, most approaches are limited to queries among binary relational facts and pay less attention to n-ary facts (n>=2) containing
Externí odkaz:
http://arxiv.org/abs/2211.13469
Publikováno v:
AAAI 2023
In the field of representation learning on knowledge graphs (KGs), a hyper-relational fact consists of a main triple and several auxiliary attribute-value descriptions, which is considered more comprehensive and specific than a triple-based fact. How
Externí odkaz:
http://arxiv.org/abs/2207.08562
Autor:
Lin, Xueyuan, Xu, Chengjin, E, Haihong, Su, Fenglong, Zhou, Gengxian, Hu, Tianyi, Li, Ningyuan, Sun, Mingzhi, Luo, Haoran
Multi-hop logical reasoning over knowledge graph (KG) plays a fundamental role in many artificial intelligence tasks. Recent complex query embedding (CQE) methods for reasoning focus on static KGs, while temporal knowledge graphs (TKGs) have not been
Externí odkaz:
http://arxiv.org/abs/2205.14307
Autor:
Lin, Xueyuan, E, Haihong, Zhou, Gengxian, Hu, Tianyi, Ningyuan, Li, Sun, Mingzhi, Luo, Haoran
Current best performing models for knowledge graph reasoning (KGR) introduce geometry objects or probabilistic distributions to embed entities and first-order logical (FOL) queries into low-dimensional vector spaces. They can be summarized as a cente
Externí odkaz:
http://arxiv.org/abs/2205.11039
Publikováno v:
In Computer Methods and Programs in Biomedicine December 2022 227
Publikováno v:
In Computer Methods and Programs in Biomedicine May 2023 233