From node embedding to community embedding on graphs
In the last few years, graphs have become an instinctive representative tool to better study complex structures. For example, in chemistry, it is common to represent and study the interaction between different proteins as a graph, reducing the experimental costs. Similarly, with the consolidation of...
Main Author: | Cavallari, Sandro |
---|---|
Other Authors: | Erik Cambria |
Format: | Thesis |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/85349 http://hdl.handle.net/10220/48265 |
Similar Items
-
Graph embedding based feature selection
by: Wei, Dan., et al.
Published: (2013) -
Knowledge graph embedding models for automatic commonsense knowledge acquisition
by: Ikhlas Mohammad Suliman Alhussien
Published: (2019) -
Embedded and mobile system verification
by: Hu, Siyu
Published: (2017) -
Leveraging knowledge graph embedding for effective conversational recommendation
by: Xia, Yunwen
Published: (2022) -
Compact network embedding for fast node classification
by: Shen, Xiaobo, et al.
Published: (2023)