graph-classification

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benedekrozemberczki /awesome-graph-classification

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Star4.8k

A collection of important graph embedding, classification and representation learning papers with implementations.

deepwalk kernel-methods attention-mechanism network-embedding graph-kernel graph-kernels graph-convolutional-networks classification-algorithm node2vec weisfeiler-lehman graph-embedding graph-classification graph-attention-networks graph-representation-learning graph2vec deep-graph-kernels netlsd graph-attention-model structural-attention node-embedding

UpdatedMar 18, 2023
Python

THUDM /CogDL

Star1.8k

CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)

leaderboard pytorch link-prediction graph-embedding graph-classification node-classification graph-neural-networks gnn-model

UpdatedFeb 1, 2024
Python

benedekrozemberczki /awesome-fraud-detection-papers

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Star1.7k

A curated list of data mining papers about fraud detection.

classifier data-science data-mining deep-learning random-forest credit-card-fraud classification fraud-management logistic-regression fraud-prevention credit-scoring churn link-prediction fraud-detection gradient-boosting fraud-checker graph-classification credit-card-validation credit-card-fraud-detection fraud-explorer

UpdatedMar 16, 2024
Python

benedekrozemberczki /CapsGNN

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Star1.3k

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

machine-learning research deep-learning tensorflow sklearn pytorch deepwalk convolution node2vec graph-classification capsule-network graph-attention-networks capsule-neural-networks graph-attention-model struc2vec graph-convolution gnn graph-neural-network capsgnn

UpdatedMar 18, 2023
Python

benedekrozemberczki /SimGNN

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Star805

A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

machine-learning deep-learning neural-network tensorflow sklearn pytorch attention-mechanism network-embedding wsdm ged gcn graph-embedding graph-classification tensor-network graph-similarity graph-convolution graph-attention gnn graph-edit-distance simgnn

UpdatedJan 12, 2023
Python

daiquocnguyen /Graph-Transformer

Star677

Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)

text-classification transformer graph-machine-learning graph-embeddings graph-classification self-attention graph-neural-networks graph-representation-learning transformer-models node-embeddings graph-deep-learning graph-transformer

UpdatedAug 16, 2022
Python

ysig /GraKeL

Star630

A scikit-learn compatible library for graph kernels

bioinformatics scikit-learn chemoinformatics graph-mining graph-kernels graph-similarity-algorithms graph-classification graph-similarity

UpdatedJul 26, 2025
Python

benedekrozemberczki /APPNP

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Star369

A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).

machine-learning deep-neural-networks research deep-learning pagerank pytorch deepwalk attention network-embedding gcn iclr node2vec graph-embedding graph-classification node-embedding graph-attention graph-convolutional-neural-networks graph-neural-network ppnp appnp

UpdatedNov 6, 2022
Python

cszhangzhen /HGP-SL

Star343

Hierarchical Graph Pooling with Structure Learning

graph graph-algorithms pytorch gcn graph-classification graph-neural-networks graph-pooling graph-level-representation

UpdatedJul 12, 2021
Python

bknyaz /graph_nn

Star336

Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)

graph pytorch graph-convolutional-networks gcn pooling multigraph graph-classification graph-unet

UpdatedOct 16, 2020
Jupyter Notebook

gasteigerjo /ppnp

Star322

PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)

machine-learning deep-learning graph-algorithms tensorflow pagerank pytorch gcn graph-classification graph-neural-networks gnn

UpdatedDec 9, 2024
Jupyter Notebook

TrustAGI-Lab /graph_datasets

Star295

A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).

graphs graph-database graph-dataset graph-classification

UpdatedFeb 28, 2022

benedekrozemberczki /GAM

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Star273

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

machine-learning reinforcement-learning sklearn deep-reinforcement-learning pytorch deepwalk neural-networks attention transfer-learning gcn node2vec graph-classification graphsage graph2vec structural-attention graph-convolution graph-attention reinforcement-agent

UpdatedNov 6, 2022
Python

benedekrozemberczki /SEAL-CI

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Star212

A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)

deep-learning tensorflow machine-learning-algorithms pytorch deepwalk deep-learning-algorithms network-embedding active-learning graph-convolutional-networks gcn node2vec graph-embedding graph-classification active-learning-module node-classification graph-neural-networks graph-representation-learning graph-convolution gnn graph-neural-network

UpdatedNov 6, 2022
Python

Zehong-Wang /Awesome-Foundation-Models-on-Graphs

Star138

A collection of graph foundation models including papers, codes, and datasets.

machine-learning deep-learning molecule transfer-learning representation-learning unsupervised-learning data-augmentation link-prediction zero-shot-learning graph-classification node-classification few-shot-learning graph-neural-networks self-supervised-learning knowlege-graph graph-representation-learning node-embedding pre-training foundation-models graph-foundation-model

UpdatedJul 10, 2025

BorgwardtLab /TOGL

Star124

Topological Graph Neural Networks (ICLR 2022)

machine-learning pytorch persistent-homology graph-classification node-classification graph-learning pytorch-geometric iclr2022

UpdatedJun 10, 2022
Python

LiuChuang0059 /graph-pooling-papers

Star117

IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)

deep-learning pooling graph-classification graph-neural-networks

UpdatedMar 28, 2025

JinheonBaek /GMT

Star107

Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)

graph pytorch graph-representation graph-classification graph-neural-networks graph-representation-learning graph-pooling graph-transformer graph-multiset-pooling graph-multiset-transformer graph-reconstruction

UpdatedDec 10, 2021
Python

BorgwardtLab /GraphKernels

Star104

A package for computing Graph Kernels

kernels python-package graph-kernels graph-classification graph-comparison

UpdatedJul 21, 2023
C++

malllabiisc /ASAP

Star102

AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations

graph-algorithms pytorch gcn graph-classification graph-neural-networks graph-convolution-network graph-pooling graph-level-representation

UpdatedJun 21, 2020
Python

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graph-classification

Here are 104 public repositories matching this topic...

benedekrozemberczki /awesome-graph-classification

THUDM /CogDL

benedekrozemberczki /awesome-fraud-detection-papers

benedekrozemberczki /CapsGNN

benedekrozemberczki /SimGNN

daiquocnguyen /Graph-Transformer

ysig /GraKeL

benedekrozemberczki /APPNP

cszhangzhen /HGP-SL

bknyaz /graph_nn

gasteigerjo /ppnp

TrustAGI-Lab /graph_datasets

benedekrozemberczki /GAM

benedekrozemberczki /SEAL-CI

Zehong-Wang /Awesome-Foundation-Models-on-Graphs

BorgwardtLab /TOGL

LiuChuang0059 /graph-pooling-papers

JinheonBaek /GMT

BorgwardtLab /GraphKernels

malllabiisc /ASAP

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