https://github.com/thunlp/neu

source code for IJCAI 17 paper "Fast Network Embedding Enhancement via High Order Proximity Approximation"
https://github.com/thunlp/neu

network-embedding

Last synced: 4 months ago
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source code for IJCAI 17 paper "Fast Network Embedding Enhancement via High Order Proximity Approximation"

• Host: GitHub
• URL: https://github.com/thunlp/neu
• Owner: thunlp
• License: mit
• Created: 2017-05-22T02:36:30.000Z (about 9 years ago)
• Default Branch: master
• Last Pushed: 2017-07-04T14:04:18.000Z (almost 9 years ago)
• Last Synced: 2025-06-21T08:46:42.489Z (about 1 year ago)
• Topics: network-embedding
• Language: Matlab
• Size: 44.4 MB
• Stars: 33
• Watchers: 8
• Forks: 10
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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README

          
# NEU

This is the lab code for paper "Fast Network Embedding Enhancement via High Order Proximity Approximation". (IJCAI2017)

The main program is neu.m. More details about parameters can be found in the comments.