node2vec: Scalable Feature Learning for Networks

3 Jul 2016Aditya GroverJure Leskovec

Prediction tasks over nodes and edges in networks require careful effort in engineering features used by learning algorithms. Recent research in the broader field of representation learning has led to significant progress in automating prediction by learning the features themselves... (read more)

PDF Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
Node Classification BlogCatalog node2vec Accuracy 21.50% # 5
Macro-F1 0.206 # 5
Node Classification Wikipedia node2vec Accuracy 19.10% # 4
Macro-F1 0.179 # 4

Results from Other Papers


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK SOURCE PAPER COMPARE
Malware Detection Android Malware Dataset node2vec Accuracy 81.25 # 3
Malware Clustering Android Malware Dataset node2vec ARI 16.39 # 3