Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/Node2vec

Node2vec

Reported on 12 benchmarks across 4 tasks · 2 papers · 5 SOTA

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

Graphs8 results

Link Property Predictiononogbl-citation2
Number of params· 2016-07-03
374911105
best: 749757283 (MPLP)
SOTA
node2vec: Scalable Feature Learning for Networks arXiv:1607.00653
Node Property Predictiononogbn-arxiv
Number of params· 2016-07-03
21818792
best: 1386219488 (SimTeG+TAPE+RevGAT)
SOTA
node2vec: Scalable Feature Learning for Networks arXiv:1607.00653
Node Property Predictiononogbn-papers100M
Number of params· 2016-07-03
14215818412
SOTA
node2vec: Scalable Feature Learning for Networks arXiv:1607.00653
Node Property Predictiononogbn-products
Number of params· 2016-07-03
313612207
SOTA
node2vec: Scalable Feature Learning for Networks arXiv:1607.00653
Node Property Predictiononogbn-proteins
Number of params· 2016-07-03
17094000
best: 664233700 (LD+GAT)
SOTA
node2vec: Scalable Feature Learning for Networks arXiv:1607.00653
Link Property Predictiononogbl-ddi
Number of params· 2016-07-03
645249
best: 976022023 (HyperFusion)
node2vec: Scalable Feature Learning for Networks arXiv:1607.00653
Link Property Predictiononogbl-collab
Number of params· 2016-07-03
30322945
best: 1064446212 (HyperFusion)
node2vec: Scalable Feature Learning for Networks arXiv:1607.00653
Link Property Predictiononogbl-ppa
Number of params· 2016-07-03
73878913
best: 295848449 (Refined-GAE)
node2vec: Scalable Feature Learning for Networks arXiv:1607.00653

Miscellaneous2 results

Fraud DetectiononElliptic Dataset
AUC· 2024-05-29
0.5263
best: 0.8329 (GCN)
Network Analytics for Anti-Money Laundering -- A Systematic Literature Review and Experimental Evaluation arXiv:2405.19383
Fraud DetectiononElliptic Dataset
AUPRC· 2024-05-29
0.0594
best: 0.6312 (GraphSAGE)
Network Analytics for Anti-Money Laundering -- A Systematic Literature Review and Experimental Evaluation arXiv:2405.19383

Robots2 results

Active Speaker DetectiononElliptic Dataset
AUC· 2024-05-29
0.5263
best: 0.8329 (GCN)
Network Analytics for Anti-Money Laundering -- A Systematic Literature Review and Experimental Evaluation arXiv:2405.19383
Active Speaker DetectiononElliptic Dataset
AUPRC· 2024-05-29
0.0594
best: 0.6312 (GraphSAGE)
Network Analytics for Anti-Money Laundering -- A Systematic Literature Review and Experimental Evaluation arXiv:2405.19383