Graph Classification
Graph classification is a task that categorizes graph-structured data into different classes or categories. The input is a graph, and the objective is to learn a classifier that can accurately predict the category to which the graph belongs. Graph classification has significant application value in areas such as social network analysis, bioinformatics, and recommendation systems.
PROTEINS
HGP-SL
MUTAG
P-WL-C
NCI1
WKPI-kmeans
ENZYMES
DSGCN-allfeat
D&D
IMDb-B
U2GNN (Unsupervised)
Peptides-func
GraphMLPMixer
COLLAB
U2GNN (Unsupervised)
NCI109
WKPI-kcenters
PTC
U2GNN (Unsupervised)
IMDb-M
G-Tuning
CIFAR10 100k
GRIT
MNIST
NeuralWalker
REDDIT-B
CRaWl
RE-M5K
GIN-0
REDDIT-BINARY
R-GIN + PANDA
UPFD-GOS
UPFD-SAGE
UPFD-POL
HGFND
BP-fMRI-97
IsoNN
HIV-fMRI-77
IsoNN
IMDB-BINARY
HIV-DTI-77
IsoNN
RE-M12K
GFN-light
FRANKENSTEIN
HIV dataset
CIN++
Mutagenicity
HGP-SL
NEURON-Average
WKPI-kcenters
NEURON-BINARY
WKPI-kmeans
NEURON-MULTI
WKPI-kcenters
MalNet-Tiny
GatedGCN+
BBBP
GMT
COX2
GIN-0
HIV
GMT
REDDIT-MULTI-12K
GNN (DiffPool)
Synthetic Dynamic Networks
Time-cohort Dynamic Features + Static Features
Tox21
GMT
ToxCast
GMT
BACE
clintox
IPC-grounded
GG-NN
IPC-lifted
MUV
SIDER
20NEWS
sKNN-LDS
5pt. Bench-Easy
NDP
ADNI
AIDS
Bench-hard
NDP
BZR
GDL-g (ADJ)
Cancer
sKNN-LDS
CIFAR-10
CKGCN
Citeseer
sKNN-LDS
COIL-RAG
Cora
sKNN-LDS
CSL
CIN
Digits
sKNN-LDS
HCP Aging
HIV-fMRI-77
IsoNN
HYDRIDES
MSRC-21 (per-class)
NC1
EigenGCN-3
NCI-123
GAM
NCI-83
GAM
NCI33
GAM
OASIS
Pubmed
Fea2Fea-s3
REDDIT-12K
G-Tuning
REDDIT-MULTI-5k
GraphSAGE
SYNTHIE
UK Biobank Brain MRI
NeuroPath
Web
UGraphEmb-F
Wine
sKNN-LDS