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아카이브 평가 51건 · 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
GMT	Accuracy 73.48%	Accurate Learning of Graph Representations with Graph Multiset Pooling 2021-02-23	코드 1
δ-2-LWL	Accuracy 73.4%	Weisfeiler and Leman go sparse: Towards scalable higher-order graph embeddings 2019-04-02	코드 1
CapsGNN	Accuracy 73.10%	Capsule Graph Neural Network 2019-05-01	코드 1
InfoGraph	Accuracy 73.03%	InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization 2019-07-31	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5
GFN	Accuracy 73.00%	Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification 2019-05-11	코드 1
GFN-light	Accuracy 73.00%	Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification 2019-05-11	코드 1
TREE-G	Accuracy 73%	TREE-G: Decision Trees Contesting Graph Neural Networks 2022-07-06	코드 1
GIN-0	Accuracy 72.8%	Fast Graph Representation Learning with PyTorch Geometric 2019-03-06	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6
PPGN	Accuracy 72.6%	Provably Powerful Graph Networks 2019-05-27	코드 1 · 코드 2
2-WL-GNN	Accuracy 72.2	A Novel Higher-order Weisfeiler-Lehman Graph Convolution 2020-07-01	코드 1
GDL	Accuracy 72.06% Rand index 51.64	Online Graph Dictionary Learning 2021-02-12	코드 1
GCAPS-CNN	Accuracy 71.69%	Graph Capsule Convolutional Neural Networks 2018-05-21	코드 1
ApproxRepSet	Accuracy 71.46%	Rep the Set: Neural Networks for Learning Set Representations 2019-04-03	코드 1
PSCN	Accuracy 71.00%	Learning Convolutional Neural Networks for Graphs 2016-05-17	코드 1 · 코드 2
2D CNN	Accuracy 70.40%	Graph Classification with 2D Convolutional Neural Networks 2017-07-29	연결 없음
DGCNN	Accuracy 70.03%	An End-to-End Deep Learning Architecture for Graph Classification 2018-04-29	코드 1 · 코드 2
GraphSAGE	Accuracy 68.8%	A Fair Comparison of Graph Neural Networks for Graph Classification 2019-12-20	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5
DGK	Accuracy 66.96%	Deep Graph Kernels 2015-08-10	연결 없음
SPI-GCN	Accuracy 60.40%	SPI-GCN: A Simple Permutation-Invariant Graph Convolutional Network 2019-04-08	연결 없음
DGCNN (sum)	Accuracy 51.69%	An End-to-End Deep Learning Architecture for Graph Classification 2018-04-29	코드 1 · 코드 2
G-Tuning	Accuracy (10-fold) 74.30	Fine-tuning Graph Neural Networks by Preserving Graph Generative Patterns 2023-12-21	코드 1