https://github.com/thudm/cogdl

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

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

Last synced: 14 May 2025

https://github.com/THUDM/cogdl

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

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

Last synced: 13 Apr 2025

https://github.com/THUDM/CogDL

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

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

Last synced: 01 May 2025

https://github.com/benedekrozemberczki/capsgnn

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

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

Last synced: 16 May 2025

https://github.com/benedekrozemberczki/CapsGNN

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

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

Last synced: 27 Mar 2025

https://github.com/benedekrozemberczki/SimGNN

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

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

Last synced: 21 Jul 2025

https://github.com/benedekrozemberczki/simgnn

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

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

Last synced: 13 Apr 2025

https://github.com/daiquocnguyen/Graph-Transformer

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

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

Last synced: 27 Mar 2025

https://github.com/ysig/grakel

A scikit-learn compatible library for graph kernels

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

Last synced: 14 May 2025

https://github.com/ysig/GraKeL

A scikit-learn compatible library for graph kernels

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

Last synced: 02 May 2025

https://github.com/benedekrozemberczki/appnp

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

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

Last synced: 07 Apr 2025

https://github.com/benedekrozemberczki/APPNP

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

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

Last synced: 17 Apr 2025

https://github.com/bknyaz/graph_nn

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

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

Last synced: 01 May 2025

https://github.com/gasteigerjo/ppnp

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

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

Last synced: 25 Oct 2025

https://github.com/trustagi-lab/graph_datasets

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

graph-classification graph-database graph-dataset graphs

Last synced: 26 Jan 2026

https://github.com/benedekrozemberczki/GAM

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

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

Last synced: 27 Mar 2025

https://github.com/benedekrozemberczki/gam

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

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

Last synced: 09 Apr 2025

https://github.com/benedekrozemberczki/seal-ci

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

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

Last synced: 06 May 2025

https://github.com/benedekrozemberczki/SEAL-CI

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

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

Last synced: 27 Mar 2025

https://github.com/BorgwardtLab/TOGL

Topological Graph Neural Networks (ICLR 2022)

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

Last synced: 15 Jul 2025

https://github.com/borgwardtlab/togl

Topological Graph Neural Networks (ICLR 2022)

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

Last synced: 11 Jul 2025

https://github.com/JinheonBaek/GMT

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

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

Last synced: 21 Jul 2025

https://github.com/borgwardtlab/graphkernels

A package for computing Graph Kernels

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

Last synced: 11 Jul 2025

https://github.com/giannisnik/cnn-graph-classification

A convolutional neural network for graph classification in PyTorch

convolutional-neural-networks graph-classification graph-kernels

Last synced: 20 Mar 2025

https://github.com/BorgwardtLab/P-WL

A Persistent Weisfeiler–Lehman Procedure for Graph Classification

graph-classification graph-kernels machine-learning persistent-homology topological-data-analysis weisfeiler-lehman

Last synced: 27 Mar 2025

https://github.com/leftthomas/DGCNN

A PyTorch implementation of DGCNN based on AAAI 2018 paper "An End-to-End Deep Learning Architecture for Graph Classification"

gcn gnn graph graph-classification graph-convolutional-networks pytorch

Last synced: 27 Mar 2025

https://github.com/borgwardtlab/p-wl

A Persistent Weisfeiler–Lehman Procedure for Graph Classification

graph-classification graph-kernels machine-learning persistent-homology topological-data-analysis weisfeiler-lehman

Last synced: 11 Jul 2025

https://github.com/benedekrozemberczki/pdn

The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)

bert cheminformatics data-science deep-learning deepwalk gcn gnn gpt-3 graph-classification graph-neural-network graph2vec message-passing molecules multiplex network-science neural-message-passing node-classification pathfinder pytorch transformer

Last synced: 11 Apr 2025

https://github.com/benedekrozemberczki/FEATHER

The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".

data-mining deep-learning deep-neural-networks deepwalk graph graph-classification graph-convolution graph-embedding graph-kernel graph2vec machine-learning network-embedding networkx neural-network node-classification node-embedding node2vec pytorch representation-learning tensorflow

Last synced: 17 Apr 2025

https://github.com/benedekrozemberczki/feather

The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".

data-mining deep-learning deep-neural-networks deepwalk graph graph-classification graph-convolution graph-embedding graph-kernel graph2vec machine-learning network-embedding networkx neural-network node-classification node-embedding node2vec pytorch representation-learning tensorflow

Last synced: 11 Apr 2025

https://github.com/yangnianzu0515/MoleOOD

Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022).

graph-classification molecule-representation-learning out-of-distribution-generalization pytorch

Last synced: 20 Nov 2025

https://github.com/bdqnghi/ggnn.tensorflow

Tensorflow implementation of Gated Graph Neural Network for Source Code Classification

deep-learning ggnn graph graph-classification program-classification programming-language

Last synced: 27 Mar 2025

https://github.com/nphdang/GE-FSG

Graph Embedding via Frequent Subgraphs

deep-learning doc2vec frequent-subgraphs graph graph-classification graph-embedding graph-representation-learning machine-learning word2vec

Last synced: 27 Mar 2025

https://github.com/filippomb/simplifying-clustering-with-graph-neural-networks

Implementation of "Just Balance GNN" for graph classification and node clustering from the paper "Simplifying Clusterings with Graph Neural Networks".

graph-classification graph-clustering graph-coarsening graph-neural-networks graph-pooling node-clustering spectral-clustering

Last synced: 31 Oct 2025

https://github.com/ashleve/graph_classification

Benchmarking GNNs with PyTorch Lightning: Open Graph Benchmarks and image classification from superpixels

graph-classification hydra image-classification ogbg open-graph-benchmark pytorch-lightning superpixels

Last synced: 13 Apr 2025

https://github.com/safreita1/malnet-graph

A large-scale database for graph representation learning

artificial-intelligence data-mining data-science deep-learning embedded geometric-deep-learning graph graph-algorithms graph-classification graph-embedding machine-learning neural-networks representation-learning

Last synced: 01 Feb 2026

https://github.com/bayer-science-for-a-better-life/phc-gnn

Implementation of the Paper: "Parameterized Hypercomplex Graph Neural Networks for Graph Classification" by Tuan Le, Marco Bertolini, Frank Noé and Djork-Arné Clevert

deep-learning graph-classification graph-neural-networks graph-representation-learning hypercomplex neural-message-passing quaternion

Last synced: 28 Sep 2025

https://github.com/benedekrozemberczki/orbitalfeatures

A sparsity aware implementation of "Biological Network Comparison Using Graphlet Degree Distribution" (Bioinformatics 2007)

bioinformatics centrality clustering-coefficient complex-networks data-science deepwalk feature-extraction graph-classification graph-enumeration graphlet machine-learning motif network-science node-classification node-embedding node2vec orbit research role2vec sklearn

Last synced: 21 Jun 2025

https://github.com/benedekrozemberczki/resolutions-2019

A list of data mining and machine learning papers that I implemented in 2019.

attention-mechanism deep-learning deepwalk gcn graph-classification graph-clustering graph-convolutional-networks graph-embedding graph-kernel machine-learning network-embedding network-science node-classification node-embedding node2vec pytorch resolution scipy sklearn tensorflow

Last synced: 11 Apr 2025

https://github.com/crisostomi/metric-few-shot-graph

Few-Shot Graph Classification via distance metric learning.

distance-metric-learning few-shot-classifcation few-shot-learning graph-classification graph-neural-networks graph-representation-learning

Last synced: 21 Apr 2025

https://github.com/borgwardtlab/filtration_curves

Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'

graph-classification graph-representation kdd2021 topological-data-analysis

Last synced: 06 Sep 2025

https://github.com/giannisnik/message_passing_graph_kernels

graph-classification graph-kernels

Last synced: 27 Mar 2025

https://github.com/filippomb/pyramidal-reservoir-graph-neural-networks

Official repository of the paper "Pyramidal Reservoir Graph Neural Networks".

graph-classification graph-neural-networks graph-pooling reservoir-computing

Last synced: 31 Oct 2025

https://github.com/benedekrozemberczki/nestedsubtreehash

A distributed implementation of "Nested Subtree Hash Kernels for Large-Scale Graph Classification Over Streams" (ICDM 2012).

data-mining data-science deepwalk distributed-machine-learning feature-extraction gensim graph-classification graph-kernel graph-mining hashing large-scale-learning machine-learning multi-scale node2vec representation-learning streaming-data streaming-processing word2vec

Last synced: 11 Apr 2025

https://github.com/simonschoelly/graphdatasets.jl

A package for downloading and working with graph datasets

dataset datasets graph graph-classification graph-data graph-datasets graph-kernel graph-kernels graphs hacktoberfest julia julia-language juliagraphs lightgraphs

Last synced: 22 Apr 2025

https://github.com/benedekrozemberczki/NestedSubtreeHash

A distributed implementation of "Nested Subtree Hash Kernels for Large-Scale Graph Classification Over Streams" (ICDM 2012).

data-mining data-science deepwalk distributed-machine-learning feature-extraction gensim graph-classification graph-kernel graph-mining hashing large-scale-learning machine-learning multi-scale node2vec representation-learning streaming-data streaming-processing word2vec

Last synced: 27 Mar 2025

https://github.com/lmriccardo/few-shot-graph-classification

Project for Deep Learning And Applied AI course at the University of "La Sapienza" in Master in Computer Science A.A. 2021/2022

data-augmentation deep-learning deep-neural-networks few-shot-classifcation few-shot-learning graph-classification graph-neural-networks maml-algorithm meta-learning python pytorch torch-geometric

Last synced: 26 Jul 2025

https://github.com/zehong-wang/awesome-foundation-models-on-graphs

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

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

Last synced: 17 Apr 2025

https://github.com/fork123aniket/end-to-end-node-and-graph-classification-and-explanation-app

Streamlit App for Node and Graph Classification and Explainability

cora dvc-for-data-science dvc-pipeline enzymes graph-classification graph-convolutional-networks graph-explain graph-neural-networks graph-representation-learning mlflow node-classificaiton optuna pytorch pytorch-geometric streamlit streamlit-cloud streamlit-sharing streamlit-webapp

Last synced: 15 Jun 2025

https://github.com/simonschoelly/graphkernels.jl

A Julia package for kernel functions on graphs

graph-classification graph-kernels graph-similarity hacktoberfest julia kernel-functions kernels machine-learning

Last synced: 01 Mar 2025