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Benchmarks
Node-level vector target learning on Synthetic Ellipsoids (val)
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0.1137
MSE
TFN
0.103872
0.170211
0.23655
0.302889
Oct 1, 2025
MSE
Updated 3mo ago
Evaluation Results
Method
Method
Links
MSE
TFN
Parameter count=29,664...
2025.10
0.1137
VDW-GNN
Parameter count=57,250...
2025.10
0.1525
EGNN
Parameter count=834,82...
2025.10
0.1949
LEGS
Parameter count=15,335
2025.10
0.2224
VDW-GNN
Parameter count=14,611...
2025.10
0.265
GIN
Parameter count=77,475
2025.10
0.3175
GCN
Parameter count=44,451
2025.10
0.3528
GAT
Parameter count=44,963
2025.10
0.3594
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