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Models/GraphStar (double weight on positive examples)

GraphStar (double weight on positive examples)

Reported on 9 benchmarks across 1 task · 1 paper · 9 SOTA

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

Graphs9 results

Link PredictiononCora (biased evaluation)
AP· 2019-06-21
96.15
SOTA
Graph Star Net for Generalized Multi-Task Learning arXiv:1906.12330
Link PredictiononCora (biased evaluation)
AUC· 2019-06-21
95.65
SOTA
Graph Star Net for Generalized Multi-Task Learning arXiv:1906.12330
Link PredictiononCora (biased evaluation)
Accuracy· 2019-06-21
95.9
SOTA
Graph Star Net for Generalized Multi-Task Learning arXiv:1906.12330
Link PredictiononPubmed (biased evaluation)
AP· 2019-06-21
98.64
SOTA
Graph Star Net for Generalized Multi-Task Learning arXiv:1906.12330
Link PredictiononPubmed (biased evaluation)
AUC· 2019-06-21
97.67
SOTA
Graph Star Net for Generalized Multi-Task Learning arXiv:1906.12330
Link PredictiononPubmed (biased evaluation)
Accuracy· 2019-06-21
98.16
SOTA
Graph Star Net for Generalized Multi-Task Learning arXiv:1906.12330
Link PredictiononCiteseer (biased evaluation)
AP· 2019-06-21
97.93
SOTA
Graph Star Net for Generalized Multi-Task Learning arXiv:1906.12330
Link PredictiononCiteseer (biased evaluation)
AUC· 2019-06-21
97.47
SOTA
Graph Star Net for Generalized Multi-Task Learning arXiv:1906.12330
Link PredictiononCiteseer (biased evaluation)
Accuracy· 2019-06-21
97.7
SOTA
Graph Star Net for Generalized Multi-Task Learning arXiv:1906.12330