Dynamic heterogeneous network representation learning method based on Hawkes process
Existing methods for heterogeneous network representation learning mainly focus on static networks, overlooking the significant impact of temporal attributes on node representations. However, real heterogeneous information networks are very dynamic, and even minor changes in nodes and edges can affe...
Saved in:
Main Authors: | CHEN Lei, DENG Kun, LIU Xingyan |
---|---|
Format: | Article |
Language: | zho |
Published: |
Beijing Xintong Media Co., Ltd
2024-08-01
|
Series: | Dianxin kexue |
Subjects: | |
Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024195/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Meta-path convolution based heterogeneous graph neural network algorithm
by: QIN Zhilong, et al.
Published: (2024-03-01) -
Analysis and Semantic Mining in Heterogeneous Information Network
by: Rui Wang, et al.
Published: (2015-07-01) -
Metabolic profiles and potential antioxidant mechanisms of hawk tea
by: Sixia Jiang, et al.
Published: (2025-01-01) -
Hawking'ten İbn Sînâ'ya Tanrı ve Fizik
by: William E Carroll
Published: (2017-12-01) -
Black Holes Have More States than Those Defined by the Bekenstein–Hawking Entropy: A Simple Argument
by: Carlo Rovelli
Published: (2024-12-01)