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ResearchFormerly WizWand

Graph Classification on D&D

84AccuracyKP-GIN
76.09678.14880.282.252Jun 3, 2016Feb 6, 2018Oct 13, 2019Jun 17, 2021Feb 21, 2023Oct 26, 2024Jul 2, 2026
Updated 4mo ago

Evaluation results

MethodLinks
KP-GINEvaluation protocol=10-fold cross-validation2026.0384
GSNEvaluation protocol=10-fold cross-validation2026.0383.9
ISP-GNN_OnionEvaluation protocol=10-fold cross-validation2026.0383.8
ISP-GNN_DegreeEvaluation protocol=10-fold cross-validation2026.0383.5
ISP-GNN†Evaluation protocol=10-fold cross-validation2026.0383.5
ISP-GNN_CoreEvaluation protocol=10-fold cross-validation2026.0383.4
AC-GINEvaluation protocol=10-fold cross-validation2026.0382.7
g-U-Netslearning_type=Inductive learning2019.0582.43
UnionGINEvaluation protocol=10-fold cross-validation2026.0382.3
GINEvaluation protocol=10-fold cross-validation2026.0382.2
ID-GNNEvaluation protocol=10-fold cross-validation2026.0381.9
STDNhead=CP-TDA2025.1281.86
GraphSNNEvaluation protocol=10-fold cross-validation2026.0381.8
BEC-GINEvaluation protocol=10-fold cross-validation2026.0381.8
hGANetk=82019.0781.71
MaxCut-Pool2026.0581.3
Trans. with X-LogSMasklayers=1-layer2026.0781.2
Trans. with X-LogSMaskvariant=ours2026.0781.2
cGANet2019.0780.86
DiffPoollearning_type=Inductive learning2019.0580.64
DiffPool2019.0780.64
FractalGCLEvaluation Protocol=10-fold CV2025.0580.14
DiffPool-NOLPlearning_type=Inductive learning2019.0579.98
WLCategory=Graph Kernel2018.0579.78
WLAlgorithm=WL2019.0279.78
WL2025.1279.78
GLKernel Type=Graphlet2016.0679.7
HMH2026.0579.7
CORE-WL-VH2024.0679.5
CORE-WL-VHCategory=Kernels2025.1079.5
DGCNNCategory=Deep Learning2018.0579.37
DGCNNAlgorithm=DGCNN2019.0279.37
DGCNNlearning_type=Inductive learning2019.0579.37
DGCNN2019.0779.37
CORE-SP2024.0679.3
CORE-SPCategory=Kernels2025.1079.3
WL-OAKernel Type=Weisfeiler-Lehman Optimal Assignment2016.0679.2
DropGINEvaluation protocol=10-fold cross-validation2026.0379.2
Mincut-Pool2026.0579.2
Cluster-GT2024.1079.15
HGK-WL2025.1279.01
E-OAKernel Type=Edge Optimal Assignment2016.0679
WLKernel Type=Weisfeiler-Lehman Convolution2016.0679
SPKernel Type=Shortest-path2016.0679
GradGCLEvaluation Protocol=10-fold CV2025.0578.95
NSPDK2024.0678.9
NSPDKCategory=Kernels2025.1078.9
MGCLEvaluation Protocol=10-fold CV2025.0578.88
RGCLEvaluation Protocol=10-fold CV2025.0578.86
V-OAKernel Type=Vertex Optimal Assignment2016.0678.8
GMT2024.1078.72
GMT2026.0778.72
WL-VH2024.0678.7
SAGPool(G)2026.0578.7
WL-VHCategory=Kernels2025.1078.7
EigenPool2026.0578.63
GraphCLEvaluation Protocol=10-fold CV2025.0578.62
DiffPool2026.0578.61
ML2024.0678.6
MLCategory=Kernels2025.1078.6
SEP2026.0578.58
GKCategory=Graph Kernel2018.0578.45
GKAlgorithm=GK2019.0278.45
StructPool2024.1078.45
DRGCLEvaluation Protocol=10-fold CV2025.0578.4
EKernel Type=Edge Convolution2016.0678.3
HGK-SP2025.1278.26
MinCutPool2024.1078.22
VKernel Type=Vertex Convolution2016.0678.2
MLGCategory=Graph Kernel2018.0578.18
MLGAlgorithm=MLG2019.0278.18
SET2SET2019.0778.12
SEP-G2024.1077.98
Nauty + CapsulesLabelling Procedure=Nauty2019.0277.9
SP2024.0677.9
PM2024.0677.9
SPCategory=Kernels2025.1077.9
PMCategory=Kernels2025.1077.9
Nested GCN2021.1077.8
Nested-GIN2022.1077.8
GDGINbase_gnn=GIN2022.1077.8
PK2024.0677.7
PKCategory=Kernels2025.1077.7
GCAPS-CNN2018.0577.62
GCAPS-CNNAlgorithm=GCAPS-CNN2019.0277.62
ARMA2019.0177.6
GDGCNbase_gnn=GCN2022.1077.6
WL-OA2024.0677.6
WL-OACategory=Kernels2025.1077.6
DiffPool2024.1077.56
SimGRACEEvaluation Protocol=10-fold CV2025.0577.44
Nested GraphSAGE2021.1077.4
JOAOv2Evaluation Protocol=10-fold CV2025.0577.4
JOAOEvaluation Protocol=10-fold CV2025.0577.32
gPool2026.0577.02
ASAP2019.1176.87
DGCNNCategory=GNNs2025.1076.6
ASAP2024.1076.58
SAGPOOL2019.1176.45
ODD-STh2024.0676.4