GREAD-F

Reported on 3 benchmarks across 1 task · 1 paper · 1 SOTA

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

Graphs3 results

Node ClassificationonTexas (48%/32%/20% fixed splits)
Accuracy· 2022-11-25
88.11
SOTA
GREAD: Graph Neural Reaction-Diffusion Networks arXiv:2211.14208
Node ClassificationonWisconsin (48%/32%/20% fixed splits)
Accuracy· 2022-11-25
86.47
best: 88.04 (GREAD-BS)
GREAD: Graph Neural Reaction-Diffusion Networks arXiv:2211.14208
Node ClassificationonCornell (48%/32%/20% fixed splits)
Accuracy· 2022-11-25
85.41
best: 87.03 (GREAD-AC)
GREAD: Graph Neural Reaction-Diffusion Networks arXiv:2211.14208