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

Bowen Jin, Yu Zhang, Sha Li, Jiawei Han

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.