Skip to content

Python implementation of AAAI 2021 submission "Learning Dynamic Node Behavior Based on Event Representation"

Notifications You must be signed in to change notification settings

HongLWang/github.LDBR.com

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

14 Commits
 
 
 
 
 
 
 
 

Repository files navigation

github.LDBR.com

Pytorch implementation of WWW 2021 submission "Learning Dynamic Node Behavior Based on Event Representation"

Requirement

python==3.7

Torch==1.0.1

scikit-learn==0.23.1

Data

You can download all the processed data at : https://drive.google.com/drive/folders/1Z_Xs0ZrIxQqFRcR3eWmqlEaVwCIPm_MZ?usp=sharing

Baseline Experiment

Baseline algorithm codes are avaiable at the following links:

GraphSage: http://snap.stanford.edu/graphsage/

DeepWalk: http://bit.ly/deepwalk

dyngraph2vec: https://github.com/palash1992/DynamicGEM

STAR: https://tinyurl.com/y67ywq6j

About

Python implementation of AAAI 2021 submission "Learning Dynamic Node Behavior Based on Event Representation"

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages