ML Research Wiki / Benchmarks / Graph Classification / PTC

PTC

Graph Classification Benchmark

Performance Over Time

📊 Showing 34 results | 📏 Metric: Accuracy

Top Performing Models

Rank	Model	Paper	Accuracy	Date	Code
1	InfoGraph	InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization	61.65	2019-07-31	📦 dmlc/dgl 📦 fanyun-sun/InfoGraph 📦 yuwvandy/g2gnn 📦 hengruizhang98/InfoGraph 📦 ycremar/DIG-SSL
2	SEG-BERT	Segmented Graph-Bert for Graph Instance Modeling	0.00	2020-02-09	📦 jwzhanggy/SEG-BERT
3	Spec-GN	A New Perspective on the Effects of Spectrum in Graph Neural Networks	0.00	2021-12-14	📦 qslim/gnn-spectrum
4	U2GNN (Unsupervised)	Universal Graph Transformer Self-Attention Networks	0.00	2019-09-26	📦 daiquocnguyen/Graph-Transformer
5	GIC	Gaussian-Induced Convolution for Graphs	0.00	2018-11-11	-
6	DUGNN 📚	Learning Universal Graph Neural Network Embeddings With Aid Of Transfer Learning	0.00	2019-09-22	📦 vermaMachineLearning/Universal-Graph-Embedding-Neural-Network
7	UGraphEmb-F	Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity	0.00	2019-04-01	📦 yunshengb/UGraphEmb
8	sGIN	Mutual Information Maximization in Graph Neural Networks	0.00	2019-05-21	📦 CODE-SUBMIT/Graph_Neighborhood_1 📦 CODE-SUBMIT/Neighborhood-Enlargement-in-Graph-Network
9	G_DenseNet	When Work Matters: Transforming Classical Network Structures to Graph CNN	0.00	2018-07-07	-
10	CIN++	CIN++: Enhancing Topological Message Passing	0.00	2023-06-06	📦 twitter-research/cwn

All Papers (34)

InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization

2019

InfoGraph

dmlc/dgl fanyun-sun/InfoGraph

Segmented Graph-Bert for Graph Instance Modeling

2020

SEG-BERT

jwzhanggy/SEG-BERT

A New Perspective on the Effects of Spectrum in Graph Neural Networks

2021

Spec-GN

qslim/gnn-spectrum

Universal Graph Transformer Self-Attention Networks

2019

U2GNN (Unsupervised)

daiquocnguyen/Graph-Transformer

Gaussian-Induced Convolution for Graphs

2018

GIC

Learning Universal Graph Neural Network Embeddings With Aid Of Transfer Learning

2019

DUGNN

vermaMachineLearning/Universal-Graph-Embedding-Neural-Network

Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity

2019

UGraphEmb-F

yunshengb/UGraphEmb

Mutual Information Maximization in Graph Neural Networks

2019

sGIN

CODE-SUBMIT/Graph_Neighborhood_1 CODE-SUBMIT/Neighborhood-Enlargement-in-Graph-Network

When Work Matters: Transforming Classical Network Structures to Graph CNN

2018

G_DenseNet

CIN++: Enhancing Topological Message Passing

2023

CIN++

twitter-research/cwn

Cell Attention Networks

2022

CAN

lrnzgiusti/can

Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity

2019

UGraphEmb

yunshengb/UGraphEmb

Template based Graph Neural Network with Optimal Transport Distances

2022

TFGW ADJ (L=2)

cedricvincentcuaz/TFGW

Universal Graph Transformer Self-Attention Networks

2019

U2GNN

daiquocnguyen/Graph-Transformer

Capsule Neural Networks for Graph Classification using Explicit Tensorial Graph Representations

2019

BC + Capsules

Wasserstein Embedding for Graph Learning

2020

WEGL

navid-naderi/WEGL

Wasserstein Weisfeiler-Lehman Graph Kernels

2019

WWL

BorgwardtLab/WWL wenbintum/wwl-gpr

DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks

2021

DropGIN

karolismart/dropgnn

Provably Powerful Graph Networks

2019

PPGN

hadarser/ProvablyPowerfulGraphNetworks_torch hadarser/ProvablyPowerfulGraphNetworks

Subgraph Networks with Application to Structural Feature Space Expansion

2019

Deep WL SGN(0,1,2)

DGCNN: Disordered Graph Convolutional Neural Network Based on the Gaussian Mixture Model

2017

DGCNN

Graph Representation Learning via Hard and Channel-Wise Attention Networks

2019

hGANet

dmlc/dgl

How Powerful are Graph Neural Networks?

2018

GIN-0

dmlc/dgl dmlc/dgl

Graph Representation Learning via Hard and Channel-Wise Attention Networks

2019

cGANet

dmlc/dgl

DDGK: Learning Graph Representations for Deep Divergence Graph Kernels

2019

DDGK

google-research/google-research

Graph Representation Learning via Hard and Channel-Wise Attention Networks

2019

GANet

dmlc/dgl

DAGCN: Dual Attention Graph Convolutional Networks

2019

DAGCN

dawenzi123/DAGCN

A Simple Baseline Algorithm for Graph Classification

2018

SF + RFC

benedekrozemberczki/karateclub edouardpineau/A-simple-baseline-algorithm-for-graph-classification edouardpineau/Using-Laplacian-Spectrum-as-Graph-Feature-Representation

Weisfeiler and Leman go sparse: Towards scalable higher-order graph embeddings

2019

δ-2-LWL

chrsmrrs/sparsewl

A simple yet effective baseline for non-attributed graph classification

2018

LDP

benedekrozemberczki/karateclub Chen-Cai-OSU/LDP

graph2vec: Learning Distributed Representations of Graphs

2017

graph2vec

benedekrozemberczki/karateclub benedekrozemberczki/graph2vec

Learning Convolutional Neural Networks for Graphs

2016

PATCHY-SAN

tvayer/PSCN CielAl/PatchySan

IsoNN: Isomorphic Neural Network for Graph Representation Learning and Classification

2019

IsoNN

linmengsysu/IsoNN jwzhanggy/isocapsnet

TREE-G: Decision Trees Contesting Graph Neural Networks

2022

TREE-G

mayabechlerspeicher/tree-g

PTC

Performance Over Time

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Top Performing Models

All Papers (34)

InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization

Segmented Graph-Bert for Graph Instance Modeling

A New Perspective on the Effects of Spectrum in Graph Neural Networks

Universal Graph Transformer Self-Attention Networks

Gaussian-Induced Convolution for Graphs

Learning Universal Graph Neural Network Embeddings With Aid Of Transfer Learning

Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity

Mutual Information Maximization in Graph Neural Networks

When Work Matters: Transforming Classical Network Structures to Graph CNN

CIN++: Enhancing Topological Message Passing

Cell Attention Networks

Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity

Template based Graph Neural Network with Optimal Transport Distances

Universal Graph Transformer Self-Attention Networks

Capsule Neural Networks for Graph Classification using Explicit Tensorial Graph Representations

Wasserstein Embedding for Graph Learning

Wasserstein Weisfeiler-Lehman Graph Kernels

DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks

Provably Powerful Graph Networks

Subgraph Networks with Application to Structural Feature Space Expansion

DGCNN: Disordered Graph Convolutional Neural Network Based on the Gaussian Mixture Model

Graph Representation Learning via Hard and Channel-Wise Attention Networks

How Powerful are Graph Neural Networks?

Graph Representation Learning via Hard and Channel-Wise Attention Networks

DDGK: Learning Graph Representations for Deep Divergence Graph Kernels

Graph Representation Learning via Hard and Channel-Wise Attention Networks

DAGCN: Dual Attention Graph Convolutional Networks

A Simple Baseline Algorithm for Graph Classification

Weisfeiler and Leman go sparse: Towards scalable higher-order graph embeddings

A simple yet effective baseline for non-attributed graph classification

graph2vec: Learning Distributed Representations of Graphs

Learning Convolutional Neural Networks for Graphs

IsoNN: Isomorphic Neural Network for Graph Representation Learning and Classification

TREE-G: Decision Trees Contesting Graph Neural Networks

Model	Paper	Accuracy	Date
InfoGraph	InfoGraph: Unsupervised and Semi-supervised Graph…	61.65	2019-07-31
SEG-BERT	Segmented Graph-Bert for Graph Instance Modeling		2020-02-09
Spec-GN	A New Perspective on the Effects of Spectrum in G…		2021-12-14
U2GNN (Unsupervised)	Universal Graph Transformer Self-Attention Networ…		2019-09-26
GIC	Gaussian-Induced Convolution for Graphs		2018-11-11
DUGNN	Learning Universal Graph Neural Network Embedding…		2019-09-22
UGraphEmb-F	Unsupervised Inductive Graph-Level Representation…		2019-04-01
sGIN	Mutual Information Maximization in Graph Neural N…		2019-05-21
G_DenseNet	When Work Matters: Transforming Classical Network…		2018-07-07
CIN++	CIN++: Enhancing Topological Message Passing		2023-06-06
CAN	Cell Attention Networks		2022-09-16
UGraphEmb	Unsupervised Inductive Graph-Level Representation…		2019-04-01
TFGW ADJ (L=2)	Template based Graph Neural Network with Optimal …		2022-05-31
U2GNN	Universal Graph Transformer Self-Attention Networ…		2019-09-26
BC + Capsules	Capsule Neural Networks for Graph Classification …		2019-02-22
WEGL	Wasserstein Embedding for Graph Learning		2020-06-16
WWL	Wasserstein Weisfeiler-Lehman Graph Kernels		2019-06-04
DropGIN	DropGNN: Random Dropouts Increase the Expressiven…		2021-11-11
PPGN	Provably Powerful Graph Networks		2019-05-27
Deep WL SGN(0,1,2)	Subgraph Networks with Application to Structural …		2019-03-21
DGCNN	DGCNN: Disordered Graph Convolutional Neural Netw…		2017-12-10
hGANet	Graph Representation Learning via Hard and Channe…		2019-07-05
GIN-0	How Powerful are Graph Neural Networks?		2018-10-01
cGANet	Graph Representation Learning via Hard and Channe…		2019-07-05
DDGK	DDGK: Learning Graph Representations for Deep Div…		2019-04-21
GANet	Graph Representation Learning via Hard and Channe…		2019-07-05
DAGCN	DAGCN: Dual Attention Graph Convolutional Networks		2019-04-04
SF + RFC	A Simple Baseline Algorithm for Graph Classificat…		2018-10-22
δ-2-LWL	Weisfeiler and Leman go sparse: Towards scalable …		2019-04-02
LDP	A simple yet effective baseline for non-attribute…		2018-11-08
graph2vec	graph2vec: Learning Distributed Representations o…		2017-07-17
PATCHY-SAN	Learning Convolutional Neural Networks for Graphs		2016-05-17
IsoNN	IsoNN: Isomorphic Neural Network for Graph Repres…		2019-07-22
TREE-G	TREE-G: Decision Trees Contesting Graph Neural Ne…		2022-07-06