A systematic course about knowledge graph for graduate students, interested researchers and engineers.东南大学《知识图谱》研究生课程 时间:春季学期(2月下旬~5月中旬) 地点:东南大学九龙湖校区 授课人:汪鹏 答疑/讨论/建议:请致信 pwang AT seu.edu.cn ...
Feng J, Huang M, Wang M, et al.Knowledge graph embedding by flexible translation. Fifteenth International Conference on the Principles of Knowledge Representation and Reasoning. 2016. (TransF) Xiao H, Huang M, Hao Y, et al.TransA: An adaptive approach for knowledge graph embedding. arXiv prep...
Knowledge graph with deep reinforcement learning for intelligent generation of machining process designView further author informationYan YanView further author informationGuoxin WangView further author informationZuoxu WangView further author information
D. Zhang, B. Yuan,D.Wang, and R. Liu, “Joint semantic relevance learning with text data and graph knowledge,” in Proc. 3rd Workshop Continuous Vector Space Models Compositionality, 2015, pp. 32–40. H. Xiao, M. Huang, and X. Zhu, “SSP: Semantic space projection for knowledge gra...
In this work, we present a novel, interpretable predictive approach based on a knowledge graph that not only provides accurate predictions of disease-causing gene interactions but also offers explanations for these results. Results We introduce BOCK, a knowledge graph constructed to explore disease-...
Artificial Intelligence Review (2024) 57:229 https://doi.org/10.1007/s10462-024-10866-4 A survey: knowledge graph entity alignment research based on graph embedding Beibei Zhu1 · Ruolin Wang2,3 · Junyi Wang2,3 · Fei Shao2,3 · Kerun Wang2,3 Published online: ...
Knowledge and Information Systems (2023) 65:5289–5308 https://doi.org/10.1007/s10115-023-01923-5 REGULAR PAPER Drug-CoV: a drug-origin knowledge graph discovering drug repurposing targeting COVID-19 Sirui Li1 · Kok Wai Wong1 · Dengya Zhu2 · Chun Che Fung1 Received: 16 January 2023 ...
链接:http://www.cs.toronto.edu/~zemel/documents/nriIcml.pdf 相关数据集: Springs Kuramoto The CMU Motion Capture Database 是否有开源代码:有(https://github.com/tkipf/nri) Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting ...
Knowledge graph embedding by translating on hyperplanes. In: Proceedings of the twenty-eighth AAAI conference on artificial intelligence; 2014. p. 1112–9. 22. Lin Y, Liu Z, Sun M, Liu Y, Zhu X. Learning entity and relation embeddings for knowledge graph completion. In: Proceedings of the...
所以本文提出了KGIN(Knowledge Graph-based Intent Network),这个模型有以下几个contribution: 能够将每一种意图作为一种辅助,和知识图谱关系结合起来。 使不同意图相互独立,能够使得模型更好且具有可解释性。 文章还设计了一个GNN的聚合方案,能够在较长的关系路径中整合关系序列。 那么什么是意图呢?作者举了这个例子...