N2-GNN

Reported on 2 benchmarks across 1 task · 1 paper

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

Graphs2 results

Graph RegressiononZINC
MAE· 2023-06-05
0.059
best: 0.051 (ESA + rings + NodeRWSE + EdgeRWSE)
Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman arXiv:2306.03266
Graph RegressiononZINC-500k
MAE· 2023-06-05
0.059
best: 0.051 (ESA + rings + NodeRWSE + EdgeRWSE)
Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman arXiv:2306.03266