Papers with Code · CC BY-SA 4.0

Peptides-struct

아카이브 평가 39건 · 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.

표가 화면보다 넓으면 좌우로 스크롤하여 논문과 구현 링크를 확인하세요.

원본 기록 순서 · 순위 미부여
모델	원본 지표·값	논문	구현
ESA + RWSE (Edge set attention, Random Walk Structural Encoding, tuned)	MAE 0.2393±0.0004	An end-to-end attention-based approach for learning on graphs 2024-02-16	코드 1
GatedGCN-HSG	MAE 0.2421±0.0007	Next Level Message-Passing with Hierarchical Support Graphs 2024-06-22	코드 1
GCN+	MAE 0.2421 ± 0.0016	Unlocking the Potential of Classic GNNs for Graph-level Tasks: Simple Architectures Meet Excellence 2025-02-13	코드 1
ECFP + LightGBM	MAE 0.2432	Molecular Fingerprints Are Strong Models for Peptide Function Prediction 2025-01-29	코드 1 · 코드 2 · 코드 3 · 코드 4
TT + LightGBM	MAE 0.2438	Molecular Fingerprints Are Strong Models for Peptide Function Prediction 2025-01-29	코드 1 · 코드 2 · 코드 3 · 코드 4
Graph ViT	MAE 0.2449±0.0016	A Generalization of ViT/MLP-Mixer to Graphs 2022-12-27	코드 1 · 코드 2 · 코드 3
MGT+WavePE	MAE 0.2453±0.0025	Multiresolution Graph Transformers and Wavelet Positional Encoding for Learning Hierarchical Structures 2023-02-17	코드 1 · 코드 2
ESA (Edge set attention, no positional encodings, not tuned)	MAE 0.2453±0.0003	An end-to-end attention-based approach for learning on graphs 2024-02-16	코드 1
RDKit + LightGBM	MAE 0.2459	Molecular Fingerprints Are Strong Models for Peptide Function Prediction 2025-01-29	코드 1 · 코드 2 · 코드 3 · 코드 4
GRIT	MAE 0.2460±0.0012	Graph Inductive Biases in Transformers without Message Passing 2023-05-27	코드 1 · 코드 2
GCN-tuned	MAE 0.2460±0.0007	Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark 2023-09-01	코드 1 · 코드 2
Graph Diffuser	MAE 0.2461±0.0010	Diffusing Graph Attention 2023-03-01	연결 없음
NeuralWalker	MAE 0.2463 ± 0.0005	Learning Long Range Dependencies on Graphs via Random Walks 2024-06-05	코드 1
GINE-tuned	MAE 0.2473±0.0017	Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark 2023-09-01	코드 1 · 코드 2
GraphMLPMixer	MAE 0.2475±0.0015	A Generalization of ViT/MLP-Mixer to Graphs 2022-12-27	코드 1 · 코드 2 · 코드 3
GatedGCN-tuned	MAE 0.2477±0.0009	Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark 2023-09-01	코드 1 · 코드 2
CKGCN	MAE 0.2477	CKGConv: General Graph Convolution with Continuous Kernels 2024-04-21	코드 1
Exphormer	MAE 0.2481±0.0007	Exphormer: Sparse Transformers for Graphs 2023-03-10	코드 1
TIGT	MAE 0.2485	Topology-Informed Graph Transformer 2024-02-03	코드 1 · 코드 2
GCN+virtual node	MAE 0.2488±0.0021	On the Connection Between MPNN and Graph Transformer 2023-01-27	코드 1
TokenGT	MAE 0.2489±0.0013	Pure Transformers are Powerful Graph Learners 2022-07-06	코드 1 · 코드 2
GPS	MAE 0.2500±0.0005	Recipe for a General, Powerful, Scalable Graph Transformer 2022-05-25	코드 1 · 코드 2 · 코드 3 · 코드 4
BoP	MAE 0.25	From Primes to Paths: Enabling Fast Multi-Relational Graph Analysis 2024-11-17	코드 1
GPS-tuned	MAE 0.2509±0.0014	Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark 2023-09-01	코드 1 · 코드 2
CIN++-500k	MAE 0.2523	CIN++: Enhancing Topological Message Passing 2023-06-06	코드 1
Transformer+LapPE	MAE 0.2529±0.0016	Long Range Graph Benchmark 2022-06-16	코드 1 · 코드 2
DRew-GCN+LapPE	MAE 0.2536±0.0015	DRew: Dynamically Rewired Message Passing with Delay 2023-05-13	코드 1
SAN+RWSE	MAE 0.2545±0.0012	Long Range Graph Benchmark 2022-06-16	코드 1 · 코드 2
PathNN	MAE 0.2545±0.0032	Path Neural Networks: Expressive and Accurate Graph Neural Networks 2023-06-09	코드 1
ViT-PS	MAE 0.2559	Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance 2023-06-05	코드 1