HyperAIHyperAI

Command Palette

Search for a command to run...

Plateforme

Graph Classification On Peptides Func

Métriques

AP

Résultats

Résultats de performance de divers modèles sur ce benchmark

Paper Title
ESA + RWSE (Edge set attention, Random Walk Structural Encoding, + validation set)0.7479An end-to-end attention-based approach for learning on graphs
ECFP + LightGBM0.7460Molecular Fingerprints Are Strong Models for Peptide Function Prediction
ESA + RWSE (Edge set attention, Random Walk Structural Encoding, tuned)0.7357±0.0036An end-to-end attention-based approach for learning on graphs
TT + LightGBM0.7318Molecular Fingerprints Are Strong Models for Peptide Function Prediction
S²GCN0.7311±0.0066Spatio-Spectral Graph Neural Networks
RDKit + LightGBM0.7311Molecular Fingerprints Are Strong Models for Peptide Function Prediction
GCN+0.7261 ± 0.0067Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence
GraphGPS + HDSE0.7156±0.0058Enhancing Graph Transformers with Hierarchical Distance Structural Encoding
DRew-GCN+LapPE0.7150±0.0044DRew: Dynamically Rewired Message Passing with Delay
GRED+LapPE0.7133±0.0011Recurrent Distance Filtering for Graph Representation Learning
NeuralWalker0.7096 ± 0.0078Learning Long Range Dependencies on Graphs via Random Walks
GRED0.7085±0.0027Recurrent Distance Filtering for Graph Representation Learning
ESA (Edge set attention, no positional encodings, tuned)0.7071±0.0015An end-to-end attention-based approach for learning on graphs
GRIT0.6988±0.0082Graph Inductive Biases in Transformers without Message Passing
CKGCN0.6952CKGConv: General Graph Convolution with Continuous Kernels
Graph ViT0.6942±0.0075A Generalization of ViT/MLP-Mixer to Graphs
GraphMLPMixer0.6921±0.0054A Generalization of ViT/MLP-Mixer to Graphs
GatedGCN-HSG0.6866±0.0038Next Level Message-Passing with Hierarchical Support Graphs
ESA (Edge set attention, no positional encodings, not tuned)0.6863±0.0044An end-to-end attention-based approach for learning on graphs
GCN-tuned0.6860±0.0050Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark
0 of 44 row(s) selected.
Graph Classification On Peptides Func | SOTA | HyperAI