Graphormer + GFSA

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 RegressiononPCQM4Mv2-LSC
Validation MAE· 2023-12-07
0.086
best: 0.0235 (ESA (Edge set attention, no positional encodings))
Graph Convolutions Enrich the Self-Attention in Transformers!arXiv:2312.04234
Graph RegressiononPCQM4M-LSC
Validation MAE· 2023-12-07
0.1193
best: 0.1148 (O-GNN)
Graph Convolutions Enrich the Self-Attention in Transformers!arXiv:2312.04234