Commit 30e9a6c0 authored by Megha Khosla's avatar Megha Khosla

Update readme.md

parent dde0cc04
The repository contains refernce implementation of NERD proposed in
**Node Representation Learning for Directed Graphs.**
M. Khosla, J. Leonhardt, W. Nejdl, A. Anand.
In ECML-PKDD 2019.
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**Required**: gsl library for random number generation
**To Compile and Link** : g++ -lgsl -lgslcblas -lm -pthread *.cpp -o NERD
......@@ -37,9 +45,9 @@ Parameters for training:
-inputvertex : if set 0 Use the first vertex in the walk sample as the input word otherwise use the middle vertex in the sample walk (default is 0)
Evaluation: The embeddings are evaluated for three tasks : Node Classification, Link Prediction and Graph Reconstruction. Respective evaluation scripts are evaluation/ multilabel_class_cv.py,
**Evaluation**: The embeddings are evaluated for three tasks : Node Classification, Link Prediction and Graph Reconstruction. Respective evaluation scripts are evaluation/ multilabel_class_cv.py,
evaluation/graph_reconstruction_sigmoid.py , evaluation/link_pred.py
Data : Links to data and train-test psplits can be found under data/
**Data**: Links to data and train-test psplits can be found under data/
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