DSGCN

Reported on 2 benchmarks across 1 task · 1 paper · 2 SOTA

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

Graphs2 results

Node ClassificationonCora: fixed 20 node per class
Accuracy· 2020-03-26
84.2
SOTA
Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks arXiv:2003.11702
Node ClassificationonCiteSeer with Public Split: fixed 20 nodes per class
Accuracy· 2020-03-26
73.3
best: 77.5 (OGC)
SOTA
Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks arXiv:2003.11702