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Code for A Comprehensive Survey of Graph-level Learning

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wokas36/GraphSNN

RingBDStack/SUGAR

KangchengHou/gntk

giannisnik/rwgnn

YimiAChack/GSKN

zju-3dv/multiway

fabriziocosta/EDeN

ZhenyuYangMQ/Awesome-Graph-Level-Learning

BorgwardtLab/graph-kernels

marionmari/propagation_kernels

chrsmrrs/glocalwl

BorgwardtLab/P-WL

jajupmochi/graphkit-learn

fapaul/GraphKernelBenchmark

Aditi-Singla/Data-Mining

NikhilGupta1997/Data-Mining-Algorithms

betterenvi/gSpan

vermaMachineLearning/FGSD

Chen-Cai-OSU/LDP

google-research/google-research/tree

xuecheng27/WWW21-Structural-Information

MLDroid/subgraph2vec_tf

MLDroid/graph2vec_tf

Microsoft/gated-graph-neural-network-samples

benedekrozemberczki/GAM

danielzuegner/netgan

snap-stanford/GraphRNN

giannisnik/cnn-graph-classification

vermaMachineLearning/Graph-Capsule-CNN-Networks

benedekrozemberczki/CapsGNN

BraintreeLtd/PatchyCapsules

HIPS/neural-fingerprint

clvrai/Relation-Network-Tensorflow

atomistic-machine-learning/dtnn

weihua916/powerful-gnns

hadarser/ProvablyPowerfulGraphNetworks

PurdueMINDS/RelationalPooling

mlelarge/graph_neural_net

twitter-research/cwn

mims-harvard/SubGNN

LingxiaoShawn/GNNAsKernel

muhanzhang/nestedgnn

Shen-Lab/GraphCL_Automated

fanyun-sun/InfoGraph

kavehhassani/mvgrl

mdeff/cnn_graph

balcilar/gnn-matlang

dmlc/dgl/tree/master/examples/pytorch/arma

YuGuangWang/UFG

lukecavabarrett/pna

CRIPAC-DIG/TextING

pyg-team/pytorch_geometric

muhanzhang/pytorch_DGCNN

psp3dcg/gsapool

RexYing/diffpool

alge24/eigenpooling

Nate1874/StructPool

FilippoMB/Spectral-Clustering

JinheonBaek/GMT

HeapHop30/hierarchical-pooling

HongyangGao/Graph-U-Nets

inyeoplee77/SAGPool

malllabiisc/ASAP

Wu-Junran/HierarchicalReporting