Effective Clustering on Large Attributed Bipartite Graphs
Author:
Affiliation:
1. Hong Kong Baptist University, Hong Kong, China
2. Chinese University of Hong Kong, Hong Kong, China
3. Shenzhen University, Shenzhen, China
4. Hong Kong Polytechnic University, Hong Kong, China
Funder
Research Grants Council, University Grants Committee
National Natural Science Foundation of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3637528.3671764
Reference89 articles.
1. Hasnat Ahmed, Yangyang Zhang, Muhammad Shoaib Zafar, Nasrullah Sheikh, and Zhenying Tai. 2020. Node embedding over attributed bipartite graphs. In KSEM. Springer, 202--210.
2. Melissa Ailem Franccois Role and Mohamed Nadif. 2015. Co-clustering document-term matrices by direct maximization of graph modularity. In CIKM. 1807--1810.
3. Sajjad Athar, Rabeeh Ayaz Abbasi, Zafar Saeed, Anwar Said, Imran Razzak, and Flora D Salim. 2023. ASBiNE: Dynamic Bipartite Network Embedding for incorporating structural and attribute information. WWW (2023), 1--19.
4. Clustering attributed graphs: Models, measures and methods
5. Petr Chunaev. 2019. Community detection in node-attributed social networks: a survey. arXiv preprint arXiv:1912.09816 (2019).
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