node2vec

Reported on 5 benchmarks across 2 tasks · 1 paper · 4 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Graphs4 results

Node ClassificationonBlogCatalog
Accuracy· 2016-07-03
21.5
best: 87.3 (ISNE)
SOTA
node2vec: Scalable Feature Learning for Networks arXiv:1607.00653
Node ClassificationonBlogCatalog
Macro-F1· 2016-07-03
0.2581
SOTA
node2vec: Scalable Feature Learning for Networks arXiv:1607.00653
Node ClassificationonPPI
Macro-F1· 2016-07-03
0.1791
SOTA
node2vec: Scalable Feature Learning for Networks arXiv:1607.00653
Node ClassificationonWikipedia
Macro-F1· 2016-07-03
0.1552
best: 0.194 (GraphGAN)
node2vec: Scalable Feature Learning for Networks arXiv:1607.00653

Miscellaneous1 result

Malware ClassificationonAndroid Malware Dataset
Accuracy· 2016-07-03
81.25
best: 99.03 (Graph2Vec)
SOTA
node2vec: Scalable Feature Learning for Networks arXiv:1607.00653