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Text Classification on Citeseer (test)

0.699AccuracyIntersection
0.421320.493410.56550.63759Mar 29, 2016Jul 17, 2016Nov 5, 2016Feb 24, 2017Jun 14, 2017Oct 3, 2017Jan 22, 2018

Evaluation results

MethodLinks
IntersectionLabels per class=202018.010.699
ICALabels per class=202018.010.691
GCN+VLabels per class=202018.010.689
GCN-VLabels per class=202018.010.681
Self-trainingLabels per class=202018.010.678
UnionLabels per class=202018.010.657
PLANETOID-ILearning paradigm=Inductive2016.030.647
PlanetoidLabels per class=202018.010.647
TSVMLearning paradigm=Transductive2016.030.64
Co-trainingLabels per class=202018.010.64
PLANETOID-TLearning paradigm=Transductive2016.030.629
MANIREGLearning paradigm=Inductive2016.030.601
ManiRegLabels per class=202018.010.601
SEMIEMBLearning paradigm=Inductive2016.030.596
SemiEmbLabels per class=202018.010.596
FEATLearning paradigm=Inductive2016.030.572
PLANETOID-GLearning paradigm=Transductive2016.030.493
LPLearning paradigm=Transductive2016.030.453
LPLabels per class=202018.010.453
GRAPHEMBLearning paradigm=Transductive2016.030.432
DeepWalkLabels per class=202018.010.432