@inproceedings{645bb0f63ebb4d5cad1190b090665fd2,
title = "Representation learning for heterogeneous information networks via embedding events",
abstract = "Network Representation Learning (NRL) has been widely used to analyze networks by mapping original networks into a low-dimensional vector space. However, existing NRL methods ignore the impact of properties of relations on the object relevance in heterogeneous information networks (HINs). To tackle this issue, this paper proposes a new NRL framework, called Event2vec, for HINs to consider both quantities and properties of relations during the representation learning process. Specifically, an event (i.e., a complete semantic unit) is used to represent the relation among multiple objects, and both event-driven first-order and second-order proximities are defined to measure the object relevance according to the quantities and properties of relations. We theoretically prove how event-driven proximities can be preserved in the embedding space by Event2vec, which utilizes event embeddings to facilitate learning the object embeddings. Experimental studies demonstrate its advantages over state-of-the-art algorithms on four real-world datasets and two network analysis tasks (i.e., link prediction and node classification). {\textcopyright} Springer Nature Switzerland AG 2019.",
keywords = "Heterogeneous information networks, Network analysis, Network embedding",
author = "Guoji FU and Bo YUAN and Qiqi DUAN and Xin YAO",
year = "2019",
doi = "10.1007/978-3-030-36708-4_27",
language = "English",
isbn = "9783030367077",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "327--339",
editor = "GEDEON, {Tom } and WONG, {Kok Wai } and LEE, {Minho }",
booktitle = "Neural Information Processing : 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part I",
address = "Germany",
note = "26th International Conference on Neural Information Processing, ICONIP 2019 ; Conference date: 12-12-2019 Through 15-12-2019",
}