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Benchmarks
Node-level vector target learning on Synthetic Ellipsoids rotated (test)
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0.1145
MSE
TFN
0.0998
0.199025
0.29825
0.397475
Oct 1, 2025
MSE
Updated 3mo ago
Evaluation Results
Method
Method
Links
MSE
TFN
Parameter count=29,664...
2025.10
0.1145
VDW-GNN
Parameter count=57,250...
2025.10
0.1513
EGNN
Parameter count=834,82...
2025.10
0.196
VDW-GNN
Parameter count=14,611...
2025.10
0.3552
LEGS
Parameter count=15,335
2025.10
0.3575
GIN
Parameter count=77,475
2025.10
0.4536
GAT
Parameter count=44,963
2025.10
0.4792
GCN
Parameter count=44,451
2025.10
0.482
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