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Commits on May 10, 2020

write results of different datasets into different files to avoid conflicts
muhanzhang
committedMay 10, 2020

Commits on Mar 18, 2019

clean the code, rename confusing functions, make pytorch_DGCNN independent of s2v
muhanzhang
committedMar 18, 2019
add support of graph regression
muhanzhang
committedMar 18, 2019

Commits on Feb 19, 2019

support including edge features in S2VGraph
muhanzhang
committedFeb 19, 2019

Commits on Sep 10, 2018

output test scores
muhanzhang
committedSep 10, 2018

Commits on Sep 3, 2018

add k lowerbound = 10
muhanzhang
committedSep 3, 2018

Commits on Aug 26, 2018

add printAUC argument
muhanzhang
committedAug 26, 2018

Commits on Jul 1, 2018

graph-level features before the final mlp will be saved to extracted_features_***.txt for downstream tasks, the first column is the labels
muhanzhang
committedJul 1, 2018

Commits on Jun 7, 2018

Fix runtime err; Raise issue of failed training.
littlepretty
committedJun 7, 2018

Commits on Apr 17, 2018

Data format supports including continuous node features. Add support to specifying the last X graphs as testing graphs. Add a new script dortmund2txt.m to preprocess dortmund bench mark graph datas…
muhanzhang
committedApr 17, 2018

Commits on Apr 9, 2018

add support of multi-dim continuous node features in class S2VGraph
muhanzhang
committedApr 9, 2018

Commits on Mar 20, 2018

Fix -fold in run_DGCNN.sh. Add support to run 10-fold cross validation with one call.
muhanzhang
committedMar 20, 2018

Commits on Mar 19, 2018

Initial commit
muhanzhang
committedMar 19, 2018

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