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ResearchFormerly WizWand

Node Clustering on DBLP

77.1NMISCHOOL
-2.5936418.09605538.7857559.475445Mar 18, 2019May 1, 2020Jun 16, 2021Jul 31, 2022Sep 15, 2023Oct 29, 2024Dec 14, 2025
Updated 8mo ago

Evaluation results

MethodLinks
SCHOOL2024.1277.182.5
HGMAE2024.1276.982.3
HeCo2024.1274.580.1
HGCML2024.1274.575.1
HERO2024.1274.179.3
CPIM2024.1273.778
Mp2vec2024.1273.577.7
HDMI2024.1273.174.4
DMGI2024.1272.272.8
DMGIattn2024.1269.673.9
DeepWalk2024.126973.3
HDGI-C2019.1160.7662.67
DGI2019.1159.2361.85
HDGI-A2019.1152.1249.86
Metapath2vec2019.1134.337.54
HOSCpooling_type=dense, learning_signal=unsupervised2025.1234—
MinCutpooling_type=dense, learning_signal=unsupervised2025.1231—
DMoNpooling_type=dense, learning_signal=unsupervised2025.1228—
ACCpooling_type=dense, learning_signal=unsupervised2025.1226—
JBPoolpooling_type=dense, learning_signal=unsupervised2025.1222—
Diffpoolpooling_type=dense, learning_signal=unsupervised2025.1215—
DeepWalk+Ffeatures=node features included2019.1111.986.99
Raw Feature2019.1111.216.98
DeepWalk2019.117.45.3
HANattention_level=dual-level (node and semantic)2019.030.79120.8476
HANsemattention_level=semantic-level only2019.030.77310.8346
HERec2019.030.76730.8098
DeepWalk2019.030.76530.8135
HANndattention_level=node-level only2019.030.7530.8146
GCN2019.030.75010.8049
metapath2vec2019.030.7430.785
SHGPClustering method=K-means2022.100.7330.7731
GAT2019.030.7150.7726
HeCoClustering method=K-means2022.100.68810.7405
ESim2019.030.66320.6831
DMGIClustering method=K-means2022.100.65170.6723
HDGIClustering method=K-means2022.100.59980.6233
M2VClustering method=K-means2022.100.4950.5673
H-DCClustering method=K-means2022.100.47150.5315