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Models/TIGT

TIGT

Reported on 10 benchmarks across 4 tasks · 1 paper · 4 SOTA

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

Graphs8 results

Graph RegressiononZINC-full
Test MAE· 2024-02-03
0.014
SOTA
Topology-Informed Graph Transformer arXiv:2402.02005
Graph RegressiononPeptides-struct
MAE· 2024-02-03
0.2485
best: 0.2432 (ECFP + LightGBM)
SOTA
Topology-Informed Graph Transformer arXiv:2402.02005
Graph ClassificationonPeptides-func
AP· 2024-02-03
0.6679
best: 0.7479 (ESA + RWSE (Edge set attention, Random Walk Structural Encoding, + validation set))
SOTA
Topology-Informed Graph Transformer arXiv:2402.02005
Graph RegressiononZINC
MAE· 2024-02-03
0.057
best: 0.051 (ESA + rings + NodeRWSE + EdgeRWSE)
Topology-Informed Graph Transformer arXiv:2402.02005
Graph RegressiononPCQM4Mv2-LSC
Validation MAE· 2024-02-03
0.0826
best: 0.0235 (ESA (Edge set attention, no positional encodings))
Topology-Informed Graph Transformer arXiv:2402.02005
Graph ClassificationonCIFAR10 100k
Accuracy (%)· 2024-02-03
73.955
best: 76.468 (GRIT)
Topology-Informed Graph Transformer arXiv:2402.02005
Node ClassificationonPATTERN
Accuracy· 2024-02-03
86.68
best: 88.661 (CKGCN)
Topology-Informed Graph Transformer arXiv:2402.02005
Node ClassificationonCLUSTER
Accuracy· 2024-02-03
78.033
best: 80.026 (GRIT)
Topology-Informed Graph Transformer arXiv:2402.02005

Methodology2 results

ClassificationonPeptides-func
AP· 2024-02-03
0.6679
best: 0.7479 (ESA + RWSE (Edge set attention, Random Walk Structural Encoding, + validation set))
SOTA
Topology-Informed Graph Transformer arXiv:2402.02005
ClassificationonCIFAR10 100k
Accuracy (%)· 2024-02-03
73.955
best: 76.468 (GRIT)
Topology-Informed Graph Transformer arXiv:2402.02005