Bridging Text Data and Graph Data: Towards Semantics and Structure-Aware Knowledge Discovery

Bowen Jin; Yu Zhang; Sha Li; Jiawei Han

doi:10.1145/3616855.3636450

Bridging Text Data and Graph Data: Towards Semantics and Structure-Aware Knowledge Discovery

Bowen Jin, Yu Zhang, Sha Li, Jiawei Han

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Graphs and texts are two key modalities in data mining. In many cases, the data presents a mixture of the two modalities and the information is often complementary: in e-commerce data, the product-user graph and product descriptions capture different aspects of product features; in scientific literature, the citation graph, author metadata, and the paper content all contribute to modeling the paper impact.

Original language	English (US)
Title of host publication	WSDM 2024 - Proceedings of the 17th ACM International Conference on Web Search and Data Mining
Publisher	Association for Computing Machinery
Pages	1122-1125
Number of pages	4
ISBN (Electronic)	9798400703713
DOIs	https://doi.org/10.1145/3616855.3636450
State	Published - Mar 4 2024
Event	17th ACM International Conference on Web Search and Data Mining, WSDM 2024 - Merida, Mexico Duration: Mar 4 2024 → Mar 8 2024

Publication series

Name	WSDM 2024 - Proceedings of the 17th ACM International Conference on Web Search and Data Mining

Conference

Conference	17th ACM International Conference on Web Search and Data Mining, WSDM 2024
Country/Territory	Mexico
City	Merida
Period	3/4/24 → 3/8/24

Keywords

graph mining
pretrained language model

ASJC Scopus subject areas

Computer Networks and Communications
Computer Science Applications
Software

Online availability

10.1145/3616855.3636450

Library availability

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Cite this

Jin, B., Zhang, Y., Li, S., & Han, J. (2024). Bridging Text Data and Graph Data: Towards Semantics and Structure-Aware Knowledge Discovery. In WSDM 2024 - Proceedings of the 17th ACM International Conference on Web Search and Data Mining (pp. 1122-1125). (WSDM 2024 - Proceedings of the 17th ACM International Conference on Web Search and Data Mining). Association for Computing Machinery. https://doi.org/10.1145/3616855.3636450

Bridging Text Data and Graph Data: Towards Semantics and Structure-Aware Knowledge Discovery. / Jin, Bowen; Zhang, Yu; Li, Sha et al.
WSDM 2024 - Proceedings of the 17th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, 2024. p. 1122-1125 (WSDM 2024 - Proceedings of the 17th ACM International Conference on Web Search and Data Mining).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Jin, B, Zhang, Y, Li, S & Han, J 2024, Bridging Text Data and Graph Data: Towards Semantics and Structure-Aware Knowledge Discovery. in WSDM 2024 - Proceedings of the 17th ACM International Conference on Web Search and Data Mining. WSDM 2024 - Proceedings of the 17th ACM International Conference on Web Search and Data Mining, Association for Computing Machinery, pp. 1122-1125, 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, 3/4/24. https://doi.org/10.1145/3616855.3636450

Jin B, Zhang Y, Li S, Han J. Bridging Text Data and Graph Data: Towards Semantics and Structure-Aware Knowledge Discovery. In WSDM 2024 - Proceedings of the 17th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery. 2024. p. 1122-1125. (WSDM 2024 - Proceedings of the 17th ACM International Conference on Web Search and Data Mining). doi: 10.1145/3616855.3636450

Jin, Bowen ; Zhang, Yu ; Li, Sha et al. / Bridging Text Data and Graph Data : Towards Semantics and Structure-Aware Knowledge Discovery. WSDM 2024 - Proceedings of the 17th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, 2024. pp. 1122-1125 (WSDM 2024 - Proceedings of the 17th ACM International Conference on Web Search and Data Mining).

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Bridging Text Data and Graph Data: Towards Semantics and Structure-Aware Knowledge Discovery

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Online availability

Library availability

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