Neural PathSim for Inductive Similarity Search in Heterogeneous Information Networks
Author:
Affiliation:
1. Hong Kong University of Science and Technology, Hong Kong, Hong Kong
2. 4Paradigm Inc., Beijing, China
3. WeBank, Shenzhen, China
4. Hong Kong University of Science and Technology & Peng Cheng Laboratory, Hong Kong, Hong Kong
Funder
NSFC
RIF
GRF
MHKJFS
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3459637.3482454
Reference45 articles.
1. DW-PathSim: a distributed computing model for topic-driven weighted meta-path-based similarity measure in a large-scale content-based heterogeneous information network
2. Learning to Identify High Betweenness Centrality Nodes from Scratch
3. Semantic proximity search on graphs with metagraph-based learning
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