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ResearchFormerly WizWand

Graph Classification on PTC

77.64AccuracyGIC
59.377664.118868.8673.6012May 17, 2016Sep 23, 2017Jan 31, 2019Jun 9, 2020Oct 16, 2021Feb 23, 2023Jul 2, 2024
Updated 8mo ago

Evaluation results

MethodLinks
GIC2018.1177.64
(s)GIN-0neighborhood enlargement=true, epsilon=02019.0573.56
(s)GIN-epsilonneighborhood enlargement=true2019.0572.16
GFNInference Setting=Inductive, Evaluation Protocol=10-fold cross-validation2019.0970.63
GRANOLAbackbone=GIN2024.0469.9
GRANOLAvariant=MS, backbone=GIN2024.0469.8
UGformerArchitecture=Variant 1, Inference Setting=Inductive, Evaluation Protocol=10-fold cross-validation2019.0969.63
(s)GCNneighborhood enlargement=true2019.0569.23
DSS-GNNbackbone=GIN, variant=EGO+2024.0469.2
BC + CapsulesLabelling Procedure=Betweenness Centrality2019.0269
GIN + DIGRAF (W/O ADAP.)Backbone=GIN, Activation=DIGRAF, Adaptive=false2024.0768.9
SEG-BERTStrategy=padding/pruning, Graph residual terms=none2020.0268.86
SEG-BERT*Strategy=Best results obtained with all three unification strategies2020.0268.86
DS-GNNbackbone=GIN, variant=EGO+2024.0468.7
GIN + DIGRAFBackbone=GIN, Activation=DIGRAF, Adaptive=true2024.0768.6
NGRAMCNN2018.1168.57
GSN2024.0468.2
CIN2024.0468.2
WKPI-KC2019.0468.1
GINnormalization=MeanSubtractionNorm2024.0468
GINnormalization=GraphSizeNorm2024.0468
GNN-AK+2024.0467.8
GIN + MaxBackbone=GIN, Activation=Max2024.0767.7
GIN + MedianBackbone=GIN, Activation=Median2024.0767.7
SUNbackbone=GIN, variant=EGO+2024.0467.6
GINnormalization=DiffGroupNorm2024.0467.4
GraphSAGE2022.0767.1
GINnormalization=RNF-NORM2024.0467.1
GINnormalization=PairNorm2024.0467.1
GIN + PReLUBackbone=GIN, Activation=PReLU2024.0766.9
GIN + MaxoutBackbone=GIN, Activation=Maxout2024.0766.8
GATInference Setting=Inductive, Evaluation Protocol=10-fold cross-validation2019.0966.7
GIN2019.0466.6
GINnormalization=LayerNorm-graph2024.0466.4
GIN + IdentityBackbone=GIN, Activation=Identity2024.0766.2
PPGNInference Setting=Inductive, Evaluation Protocol=10-fold cross-validation2019.0966.17
GCAPS-CNN2018.0566.01
GCAPS-CNNAlgorithm=GCAPS-CNN2019.0266.01
GCAPS-CNN2020.0266.01
GCAPSInference Setting=Inductive, Evaluation Protocol=10-fold cross-validation2019.0966.01
GRANOLAvariant=NO-RNF, backbone=GIN2024.0465.8
GraphConv + ID-GNN2024.0465.4
GIN + GeLUBackbone=GIN, Activation=GeLU2024.0765.4
GIN + ELUBackbone=GIN, Activation=ELU2024.0765.4
GINnormalization=LayerNorm-node2024.0465.3
GIN + SigmoidBackbone=GIN, Activation=Sigmoid2024.0765.3
GINnormalization=NodeNorm2024.0465.1
GIN + TanhBackbone=GIN, Activation=Tanh2024.0765.1
GIN + SwishBackbone=GIN, Activation=Swish2024.0765.1
hGANetk=82019.0765.02
GIN + LeakyReLUBackbone=GIN, Activation=LeakyReLU2024.0765
GINnormalization=GraphNorm2024.0464.9
GIN + GRELUBackbone=GIN, Activation=GRELU2024.0764.9
SEG-BERTStrategy=padding/pruning, Graph residual terms=raw2020.0264.84
GINnormalization=InstanceNorm2024.0464.7
GINnormalization=SuperNorm2024.0464.7
GIN-0neighborhood enlargement=false, epsilon=02019.0564.6
GIN-0Inference Setting=Inductive, Evaluation Protocol=10-fold cross-validation2019.0964.6
GINnormalization=BatchNorm2024.0464.6
GIN + ReLUBackbone=GIN, Activation=ReLU2024.0764.6
LDPextra node feature=label2018.1164.5
DropEdge2024.0464.5
GINnormalization=BatchNorm, positional_encoding=RNF-PE2024.0464.4
GCNneighborhood enlargement=false2019.0564.2
GCNInference Setting=Inductive, Evaluation Protocol=10-fold cross-validation2019.0964.2
Nauty + CapsulesLabelling Procedure=Nauty2019.0263.9
GraphSAGEInference Setting=Inductive, Evaluation Protocol=10-fold cross-validation2019.0963.9
GIN-epsilonneighborhood enlargement=false2019.0563.7
WL-OA2018.1163.6
cGANet2019.0763.53
P-WL-UC2019.0463.5
MLGCategory=Graph Kernel2018.0563.26
MLGAlgorithm=MLG2019.0263.26
GINnormalization=Identity2024.0463.1
GCN + Dense2019.0563
PiNetp=0, q=0, search_mode=Manual2019.0563
PiNetsearch_mode=Learned2019.0563
DAGCN2019.0462.88
DAGCN2020.0262.88
FGSD2018.1162.8
WKPI-KM2019.0462.7
RetGK2019.0462.5
RetGk2018.1162.5
PF2019.0462.4
PSCN2019.0462.3
PSCN2018.1162.3
PSCNk=10, node_attribute=labels, time (seconds)=62016.0562.29
PSCNCategory=Deep Learning2018.0562.29
PSCNAlgorithm=PSCN2019.0262.29
PSCN2019.0762.29
PSCN2020.0262.29
PSCNInference Setting=Inductive, Evaluation Protocol=10-fold cross-validation2019.0962.29
WLKernel2019.0562
LDPextra node feature=none2018.1161.7
GCN + Sum2019.0561
graph2vec2017.0760.17
DGK2019.0460.1
DGK2018.1160.1
DGKCategory=Graph Kernel2018.0560.08
DGKAlgorithm=DGK2019.0260.08