Papers with Code · CC BY-SA 4.0

Peptides-func

아카이브 평가 44건 · 마지막 적재/변경 2026-10-30

평가 기록

과거 수집 기록이며 최신 순위가 아닙니다. 데이터셋 버전·split·실험 조건과 지표 방향이 검증되지 않은 결과는 직접 비교할 수 없습니다. 날짜는 논문 날짜이며 최신 평가일을 뜻하지 않습니다.

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원본 기록 순서 · 순위 미부여
모델	원본 지표·값	논문	구현
ESA + RWSE (Edge set attention, Random Walk Structural Encoding, + validation set)	AP 0.7479	An end-to-end attention-based approach for learning on graphs 2024-02-16	코드 1
ECFP + LightGBM	AP 0.7460	Molecular Fingerprints Are Strong Models for Peptide Function Prediction 2025-01-29	코드 1 · 코드 2 · 코드 3 · 코드 4
ESA + RWSE (Edge set attention, Random Walk Structural Encoding, tuned)	AP 0.7357±0.0036	An end-to-end attention-based approach for learning on graphs 2024-02-16	코드 1
TT + LightGBM	AP 0.7318	Molecular Fingerprints Are Strong Models for Peptide Function Prediction 2025-01-29	코드 1 · 코드 2 · 코드 3 · 코드 4
S²GCN	AP 0.7311±0.0066	Spatio-Spectral Graph Neural Networks 2024-05-29	코드 1
RDKit + LightGBM	AP 0.7311	Molecular Fingerprints Are Strong Models for Peptide Function Prediction 2025-01-29	코드 1 · 코드 2 · 코드 3 · 코드 4
GCN+	AP 0.7261 ± 0.0067	Unlocking the Potential of Classic GNNs for Graph-level Tasks: Simple Architectures Meet Excellence 2025-02-13	코드 1
GraphGPS + HDSE	AP 0.7156±0.0058	Enhancing Graph Transformers with Hierarchical Distance Structural Encoding 2023-08-22	코드 1
DRew-GCN+LapPE	AP 0.7150±0.0044	DRew: Dynamically Rewired Message Passing with Delay 2023-05-13	코드 1
GRED+LapPE	AP 0.7133±0.0011	Recurrent Distance Filtering for Graph Representation Learning 2023-12-03	코드 1
NeuralWalker	AP 0.7096 ± 0.0078	Learning Long Range Dependencies on Graphs via Random Walks 2024-06-05	코드 1
GRED	AP 0.7085±0.0027	Recurrent Distance Filtering for Graph Representation Learning 2023-12-03	코드 1
ESA (Edge set attention, no positional encodings, tuned)	AP 0.7071±0.0015	An end-to-end attention-based approach for learning on graphs 2024-02-16	코드 1
GRIT	AP 0.6988±0.0082	Graph Inductive Biases in Transformers without Message Passing 2023-05-27	코드 1 · 코드 2
CKGCN	AP 0.6952	CKGConv: General Graph Convolution with Continuous Kernels 2024-04-21	코드 1
Graph ViT	AP 0.6942±0.0075	A Generalization of ViT/MLP-Mixer to Graphs 2022-12-27	코드 1 · 코드 2 · 코드 3
GraphMLPMixer	AP 0.6921±0.0054	A Generalization of ViT/MLP-Mixer to Graphs 2022-12-27	코드 1 · 코드 2 · 코드 3
GatedGCN-HSG	AP 0.6866±0.0038	Next Level Message-Passing with Hierarchical Support Graphs 2024-06-22	코드 1
ESA (Edge set attention, no positional encodings, not tuned)	AP 0.6863±0.0044	An end-to-end attention-based approach for learning on graphs 2024-02-16	코드 1
GCN-tuned	AP 0.6860±0.0050	Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark 2023-09-01	코드 1 · 코드 2
MGT+WavePE	AP 0.6817±0.0064	Multiresolution Graph Transformers and Wavelet Positional Encoding for Learning Hierarchical Structures 2023-02-17	코드 1 · 코드 2
PathNN	AP 0.6816±0.0026	Path Neural Networks: Expressive and Accurate Graph Neural Networks 2023-06-09	코드 1
GatedGCN-tuned	AP 0.6765±0.0047	Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark 2023-09-01	코드 1 · 코드 2
GatedGCN+RWSE+virtual node	AP 0.6685±0.0062	On the Connection Between MPNN and Graph Transformer 2023-01-27	코드 1
TIGT	AP 0.6679	Topology-Informed Graph Transformer 2024-02-03	코드 1 · 코드 2
Graph Diffuser	AP 0.6651±0.0010	Diffusing Graph Attention 2023-03-01	연결 없음
GINE-tuned	AP 0.6621±0.0067	Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark 2023-09-01	코드 1 · 코드 2
ViT-PS	AP 0.6575	Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance 2023-06-05	코드 1
CIN++-500k	AP 0.6569±0.0117	CIN++: Enhancing Topological Message Passing 2023-06-06	코드 1
GPS	AP 0.6535±0.0041	Recipe for a General, Powerful, Scalable Graph Transformer 2022-05-25	코드 1 · 코드 2 · 코드 3 · 코드 4