GraphSage

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

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

Graphs3 results

Graph ClassificationonCIFAR10 100k
Accuracy (%)· 2017-06-07
66.08
best: 76.468 (GRIT)
SOTA
Inductive Representation Learning on Large Graphs arXiv:1706.02216
Graph RegressiononZINC-500k
MAE· 2017-06-07
0.398
best: 0.051 (ESA + rings + NodeRWSE + EdgeRWSE)
Inductive Representation Learning on Large Graphs arXiv:1706.02216
Node ClassificationonPATTERN 100k
Accuracy (%)· 2017-06-07
50.516
best: 86.816 (EGT)
Inductive Representation Learning on Large Graphs arXiv:1706.02216

Methodology1 result

ClassificationonCIFAR10 100k
Accuracy (%)· 2017-06-07
66.08
best: 76.468 (GRIT)
SOTA
Inductive Representation Learning on Large Graphs arXiv:1706.02216