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ResearchFormerly WizWand

Graph Classification on IMDB-B

86.8AccuracyESA
73.69677.09880.583.902May 30, 2018Oct 4, 2019Feb 8, 2021Jun 15, 2022Oct 21, 2023Feb 24, 2025Jul 2, 2026
Updated 4mo ago

Evaluation results

MethodLinks
ESA2024.0286.8
GAT2024.0284.2
AutoGELType=AutoGNN2021.1281.2
DropGIN2024.0280.4
GCN2024.0280.2
TokenGT2024.0280.2
GATv22024.0280
GPS2024.0279.4
GraphCrocEpochs=1002024.1078.75
ProtGNN2026.0578.3
ProtGNN2026.0578.3
PNA2024.0278
Graphormer2024.0278
(s)GIN-0neighborhood enlargement=true, epsilon=02019.0577.94
GraphGPS2026.0777.4
PXGL-GNN2025.1277.35
SEG-BERT*Strategy=Best results obtained with all three unification strategies2020.0277.2
UGformerArchitecture=Variant 1, Inference Setting=Inductive, Evaluation Protocol=10-fold cross-validation2019.0977.04
UGT# Parameters=55,5082023.1177.04
UGT2023.1177.04
Trans. with X-LogSMaskvariant=ours2026.0777
GNTK2019.0576.9
GIC2018.1176.7
GraphMAE2 + COREmasking process=GraphMAE22025.1276.7
GraphCrocEpochs=102024.1076.69
GIN2024.0276.6
RADE-OFSBackbone=GCN2026.0576.6
DDMProtocol=Unsupervised representation learning2023.0676.4
CTQWformer2026.0576.4
RADE-OFBackbone=GAT2026.0576.3
δ-3-LWL+Type=Local Kernel2019.0476.2
GraphMAE22025.1276.2
DropNodeBackbone=GCN2026.0576.2
RADE-OFBackbone=GCN2026.0576.2
RADE-OFSBackbone=GAT2026.0576.2
(s)GCNneighborhood enlargement=true2019.0576.1
GraphMAE + COREmasking process=GraphMAE2025.1276.1
DropNodeBackbone=GAT2026.0576.1
Trans. with X-LogSMasklayers=1-layer2026.0776
SAT2026.0775.9
GCMAE2025.1275.8
DropoutBackbone=GCN2026.0575.8
S2GAE2025.1275.77
S2GAE2024.1075.76
S2GAEPre-training Type=Generative2023.0975.76
δ-2-LWL+Type=Local Kernel2019.0475.7
GCNBackbone=GCN2026.0575.7
DropEdgeBackbone=GCN2026.0575.7
PDF2023.0575.6
AUG-MAE2025.1275.6
GraphMAEProtocol=Unsupervised representation learning2023.0675.52
GraphMAE2024.1075.52
StructMAE2024.1075.52
GraphMAEPre-training Type=Generative2023.0975.52
GraphMAEEvaluation protocol=Unsupervised representation learning2024.0575.5
GraphMAE2025.1275.5
DropMessageBackbone=GAT2026.0575.5
SEG-BERTStrategy=padding/pruning, Graph residual terms=none2020.0275.4
DropMessageBackbone=GCN2026.0575.4
SAN2025.1275.27
(s)GIN-epsilonneighborhood enlargement=true2019.0575.19
GIN2019.0475.1
WKPI-KC2019.0475.1
GIN-0neighborhood enlargement=false, epsilon=02019.0575.1
GIN2019.0575.1
GIN-0Learning paradigm=Supervised Approaches2021.1075.1
InfoGCLLearning paradigm=Unsupervised Approaches2021.1075.1
GINType=Manual GNNs2021.1275.1
GIN-0Inference Setting=Inductive, Evaluation Protocol=10-fold cross-validation2019.0975.1
GIN2023.0575.1
GINProtocol=Unsupervised representation learning2023.0675.1
InfoGCL2024.1075.1
GIN2025.1275.1
InfoGCL2025.1275.1
GIN2026.0775.1
CDLLabel=50%2024.1174.9
CDLLabel=70%2024.1174.9
GCN22023.0574.8
StructPoolevaluation_protocol=10-fold cross-validation2021.0774.7
SEG-BERTStrategy=padding/pruning, Graph residual terms=raw2020.0274.7
GAT2026.0774.7
CDLLabel=30%2024.1174.6
DropEdgeBackbone=GAT2026.0574.6
SAGNN2025.1274.53
LTP2023.0574.5
GLIALabel=70%2024.1174.5
GraphTrans2026.0774.5
AWEAlgorithm Grouping=DD2018.0574.45
AWE2020.0274.45
AWE2019.0574.45
AWE2023.0574.45
WWL2019.0674.37
GIN-epsilonneighborhood enlargement=false2019.0574.3
GIN-eLearning paradigm=Supervised Approaches2021.1074.3
GLIALabel=50%2024.1174.3
DropMessageBackbone=GIN2026.0574.3
DropoutBackbone=GAT2026.0574.3
GCN2026.0774.3
AIA2022.1174.23
mvgrlLearning paradigm=Unsupervised Approaches2021.1074.2