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/SCAT (half of negative examples with 0 features)

SCAT (half of negative examples with 0 features)

Reported on 6 benchmarks across 1 task · 1 paper · 6 SOTA

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

Graphs6 results

Link PredictiononCora (biased evaluation)
AP· 2018-09-28
94.63
best: 96.15 (GraphStar (double weight on positive examples))
SOTA
Encoding Robust Representation for Graph Generation arXiv:1809.10851
Link PredictiononCora (biased evaluation)
AUC· 2018-09-28
94.48
best: 95.65 (GraphStar (double weight on positive examples))
SOTA
Encoding Robust Representation for Graph Generation arXiv:1809.10851
Link PredictiononPubmed (biased evaluation)
AP· 2018-09-28
97.19
best: 98.64 (GraphStar (double weight on positive examples))
SOTA
Encoding Robust Representation for Graph Generation arXiv:1809.10851
Link PredictiononPubmed (biased evaluation)
AUC· 2018-09-28
97.52
best: 97.67 (GraphStar (double weight on positive examples))
SOTA
Encoding Robust Representation for Graph Generation arXiv:1809.10851
Link PredictiononCiteseer (biased evaluation)
AP· 2018-09-28
97.57
best: 97.93 (GraphStar (double weight on positive examples))
SOTA
Encoding Robust Representation for Graph Generation arXiv:1809.10851
Link PredictiononCiteseer (biased evaluation)
AUC· 2018-09-28
97.27
best: 97.47 (GraphStar (double weight on positive examples))
SOTA
Encoding Robust Representation for Graph Generation arXiv:1809.10851