Graph Classification
图分类是一项将图结构数据划分为不同类别或类别的任务。输入为图,目标是学习一个能够准确预测图所属类别的分类器。图分类在社会网络分析、生物信息学和推荐系统等领域具有广泛的应用价值。
20NEWS
sKNN-LDS
5pt. Bench-Easy
NDP
ADNI
AIDS
BACE
BBBP
GTOT-Tuning
Bench-hard
NDP
BP-fMRI-97
IsoNN
BZR
GDL-g (ADJ)
Cancer
sKNN-LDS
CIFAR-10
CKGCN
CIFAR10 100k
NeuralWalker
Citeseer
sKNN-LDS
clintox
COIL-RAG
COLLAB
U2GNN (Unsupervised)
Cora
sKNN-LDS
COX2
GDL-g (ADJ)
CSL
CIN
D&D
Digits
sKNN-LDS
ENZYMES
DSGCN-allfeat
FRANKENSTEIN
HCP Aging
HIV
GTOT-Tuning
HIV dataset
CIN++
HIV-DTI-77
IsoNN
HIV-fMRI-77
IsoNN
HIV-fMRI-77
IsoNN
HYDRIDES
IMDb-B
U2GNN (Unsupervised)
IMDB-BINARY
IMDb-M
G-Tuning
IPC-grounded
GG-NN
IPC-lifted
MalNet-Tiny
GatedGCN+
MNIST
NeuralWalker
MSRC-21 (per-class)
MUTAG
G-Tuning
Mutagenicity
HGP-SL
MUV
NC1
EigenGCN-3
NCI-123
GAM
NCI-83
GAM
NCI1
TFGW ADJ (L=2)
NCI109
WKPI-kcenters
NCI33
GAM
NEURON-Average
WKPI-kcenters
NEURON-BINARY
WKPI-kmeans
NEURON-MULTI
WKPI-kcenters
OASIS
Peptides-func
GraphMLPMixer
PROTEINS
G-Tuning
PTC
U2GNN (Unsupervised)
Pubmed
Fea2Fea-s3
RE-M12K
GFN-light
RE-M5K
GIN-0
REDDIT-12K
G-Tuning
REDDIT-B
CRaWl
REDDIT-BINARY
R-GIN + PANDA
REDDIT-MULTI-12K
GNN (DiffPool)
REDDIT-MULTI-5k
GraphSAGE
SIDER
Synthetic Dynamic Networks
Time-cohort Dynamic Features + Static Features
SYNTHIE
Tox21
GMT
ToxCast
GMT
UK Biobank Brain MRI
NeuroPath
UPFD-GOS
UPFD-SAGE
UPFD-POL
HGFND
Web
UGraphEmb-F
Wine
sKNN-LDS