@inproceedings{16fb728cf3064805beccd65c029342a7,
title = "HetespaceyWalk: A heterogeneous Spacey random walk for heterogeneous information network embedding",
abstract = "Heterogeneous information network (HIN) embedding has gained increasing interests recently. However, the current way of random-walk based HIN embedding methods have paid few attention to the higher-order Markov chain nature of meta-path guided random walks, especially to the stationarity issue. In this paper, we systematically formalize the meta-path guided random walk as a higher-order Markov chain process, and present a heterogeneous personalized spacey random walk to efficiently and effectively attain the expected stationary distribution among nodes. Then we propose a generalized scalable framework to leverage the heterogeneous personalized spacey random walk to learn embeddings for multiple types of nodes in an HIN guided by a meta-path, a meta-graph, and a meta-schema respectively. We conduct extensive experiments in several heterogeneous networks and demonstrate that our methods substantially outperform the existing state-of-the-art network embedding algorithms.",
keywords = "Heterogeneous networks, Network embedding, Random walk",
author = "Yu He and Yangqiu Song and Jianxin Li and Cheng Ji and Jian Peng and Hao Peng",
note = "This work is supported by the China NSFC program (No.61872022, 61421003), SKLSDE-2018ZX16, and the Early Career Scheme (ECS, No.26206717) from Research Grants Council in Hong Kong. For any correspondence, please refer to Jianxin Li. This work is supported by the China NSFC program (No.61872022, 61421003) , SKLSDE-2018ZX16, and the Early Career Scheme (ECS, No.26206717) from Research Grants Council in Hong Kong. For any correspondence, please refer to Jianxin Li.; 28th ACM International Conference on Information and Knowledge Management, CIKM 2019 ; Conference date: 03-11-2019 Through 07-11-2019",
year = "2019",
month = nov,
day = "3",
doi = "10.1145/3357384.3358061",
language = "English (US)",
series = "International Conference on Information and Knowledge Management, Proceedings",
publisher = "Association for Computing Machinery",
pages = "639--648",
booktitle = "CIKM 2019 - Proceedings of the 28th ACM International Conference on Information and Knowledge Management",
address = "United States",
}