@inproceedings{2f21296c372749f481daa9b2fec0bfb5,
title = "M-Cypher: A GQL Framework Supporting Motifs",
abstract = "Graph databases witness the rise of Graph Query Language (GQL) in recent years, which enables non-programmers to express a graph query. However, the current solution does not support motif-related queries on knowledge graphs, which are proven important in many real-world scenarios. In this paper, we propose a GQL framework for mining knowledge graphs, named M-Cypher. It supports motif-related graph queries in an effective, efficient and user-friendly manner. We demonstrate the usage of the system by the emerging Covid-19 knowledge graph analytic tasks.",
keywords = "covid-19 knowledge graph, gql, motif",
author = "Xiaodong Li and Reynold Cheng and Matin Najafi and Kevin Chang and Xiaolin Han and Hongtai Cao",
note = "Publisher Copyright: {\textcopyright} 2020 ACM.; 29th ACM International Conference on Information and Knowledge Management, CIKM 2020 ; Conference date: 19-10-2020 Through 23-10-2020",
year = "2020",
month = oct,
day = "19",
doi = "10.1145/3340531.3417440",
language = "English (US)",
series = "International Conference on Information and Knowledge Management, Proceedings",
publisher = "Association for Computing Machinery",
pages = "3433--3436",
booktitle = "CIKM 2020 - Proceedings of the 29th ACM International Conference on Information and Knowledge Management",
address = "United States",
}