Skip to content

The codes for CIKM 2021 paper "Neural PathSim for Inductive Similarity Search in Heterogeneous Information Networks"

License

Notifications You must be signed in to change notification settings

HKUST-KnowComp/NeuPath

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

10 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

NeuPath

The codes for CIKM 2021 paper "Neural PathSim for Inductive Similarity Search in Heterogeneous Information Networks" https://arxiv.org/pdf/2109.01549.pdf

Dependencies

  • python 3.7
  • PyTorch 1.6+
  • DGL 0.5.0+

Running

Run with following to get the PathSim scores for the meta-path "PAFAP"

python train.py --n_layer 2 --n_head 4 --n_inp 256 --n_hid 256 ----gpu 0

Miscellaneous

Please send any questions you might have about the code and/or the algorithm to [email protected].

About

The codes for CIKM 2021 paper "Neural PathSim for Inductive Similarity Search in Heterogeneous Information Networks"

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages