Build software better, together

benedekrozemberczki / awesome-graph-classification

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

Updated Mar 2, 2022
Python

benedekrozemberczki / karateclub

Sponsor

Star

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

machine-learning sklearn community-detection network-science deepwalk networkx supervised-learning louvain unsupervised-learning network-embedding scikit label-propagation gcn graph-clustering node2vec networkx-graph graph-embedding graph2vec node-embedding 2vec

Updated Jan 22, 2022
Python

benedekrozemberczki / pytorch_geometric_temporal

Sponsor

Star

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

deep-learning network-science pytorch temporal-networks spatial-analysis spatial-data spatiotemporal network-embedding spatio-temporal-analysis graph-convolutional-networks gcn spatio-temporal-data temporal-data graph-embedding graph-neural-networks node-embedding graph-convolution gnn temporal-graphs pypi-url pypi-image

Updated Apr 24, 2022
Python

dsgiitr / graph_nets

Star

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

pytorch deepwalk graph-convolutional-networks graph-embedding graph-attention-networks chebyshev-polynomials graph-representation-learning node-embedding graph-sage

Updated Mar 26, 2022
Jupyter Notebook

benedekrozemberczki / graph2vec

Sponsor

Star

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

machine-learning kernel word2vec deepwalk matrix-factorization transformer unsupervised-learning graph-kernel node2vec weisfeiler-lehman noise-contrastive-estimation graph-embedding graph2vec subgraph2vec graph-wavelet node-embedding struc2vec implicit-matrix-factorization diff2vec gemsec

Updated Mar 2, 2022
Python

benedekrozemberczki / littleballoffur

Sponsor

Star

Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)

machine-learning deep-learning graph graph-algorithms network-science networkx sampling network-embedding random-walk metropolis-hastings minimum-spanning-tree graph-embedding forest-fire graph-sampling network-analytics node-embedding graph-sparsification community-structure network-sampling

Updated Jan 22, 2022
Python

benedekrozemberczki / datasets

Sponsor

Star

A repository of pretty cool datasets that I collected for network science and machine learning research.

data-science benchmark machine-learning community-detection network-science deepwalk dataset dimensionality-reduction network-analysis network-embedding link-prediction gcn node2vec graph-embedding node-classification graph2vec node-embedding graph-convolution gnn graph-neural-network

Updated Apr 5, 2022

benedekrozemberczki / APPNP

Sponsor

Star

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

Updated Mar 2, 2022
Python

benedekrozemberczki / Splitter

Sponsor

Star

A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).

machine-learning deep-learning clustering word2vec community-detection pytorch deepwalk gensim factorization network-embedding node2vec graph-embedding overlapping-community-detection deep-neural-network graph-representation-learning node-embedding implicit-factorization graph-neural-network ego-splitting word-vector

Updated Mar 2, 2022
Python

benedekrozemberczki / DANMF

Sponsor

Star

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

data-science machine-learning deep-learning clustering word2vec sklearn community-detection deepwalk autoencoder dimensionality-reduction unsupervised-learning cikm embedding nmf coordinate-descent node2vec node-embedding gemsec mnmf danmf

Updated Mar 2, 2022
Python

benedekrozemberczki / role2vec

Sponsor

Star

A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).

machine-learning research deep-learning tensorflow word2vec sklearn network-science pytorch deepwalk gensim representation-learning network-embedding node2vec weisfeiler-lehman graph-embedding graph-wavelet node-embedding struc2vec implicit-factorization graph-neural-network

Updated Apr 1, 2022
Python

benedekrozemberczki / diff2vec

Sponsor

Star

Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.

machine-learning deep-learning neural-network tensorflow embeddings deepwalk gensim complex-networks factorization unsupervised-learning embedding network-embedding diffusion node2vec graph-embedding node-embedding struc2vec diff2vec implicit-factorization semisupervised-learning

Updated Mar 2, 2022
Python

benedekrozemberczki / MUSAE

Sponsor

Star

The reference implementation of "Multi-scale Attributed Node Embedding". (Journal of Complex Networks 2021)

deep-learning word2vec deepwalk gensim network-analysis embedding network-embedding node2vec graph-embedding node-embedding gemsec implicit-factorization asonam tadw attributed-embedding aane asne musae walklets graph-neural-network

Updated Mar 2, 2022
Python

benedekrozemberczki / walklets

Sponsor

Star

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

machine-learning deep-learning word2vec deepwalk dimensionality-reduction gensim edge-prediction multiscale graph-mining embedding node2vec word-embedding graph-embedding node-classification graph-neural-networks node-embedding walklet graphlet dont-walk-skip graph-convolution

Updated Mar 2, 2022
Python

VGraphRNN / VGRNN

Star

Variational Graph Recurrent Neural Networks - PyTorch

representation-learning variational-inference link-prediction graph-convolutional-networks variational-autoencoder variational-autoencoders graph-embedding graph-neural-networks graph-representation-learning node-embedding dynamic-graphs graph-auto-encoder graph-neural-network

Updated Jul 8, 2020
Python

benedekrozemberczki / ASNE

Sponsor

Star

A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).

data-science tensorflow word2vec deepwalk feature-extraction dimensionality-reduction factorization representation-learning embedding network-embedding node2vec graph-embedding attributed node-embedding diff2vec gemsec attributed-embedding 2vec aane asne

Updated Mar 2, 2022
Python

GemsLab / REGAL

Star

Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings

scalability matrix-factorization representation-learning network-embedding graph-matching network-alignment node-embedding

Updated Mar 30, 2021
Python

benedekrozemberczki / TENE

Sponsor

Star

A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).

machine-learning deep-learning tensorflow pytorch deepwalk matrix-factorization feature-extraction pattern-recognition network-embedding node2vec graph-embedding node-classification node-embedding implicit-factorization tadw attributed-embedding asne graph-convolution graph-neural-network matrix-decomposition

Updated Mar 2, 2022
Python

benedekrozemberczki / SINE

Sponsor

Star

A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).

machine-learning deep-learning tensorflow sklearn torch pytorch deepwalk networkx dimensionality-reduction gensim unsupervised-learning network-embedding node2vec graph-embedding node-embedding tadw aane asne walklets grarep

Updated Mar 2, 2022
Python

abhilash1910 / SpectralEmbeddings

Star

spectralembeddings is a python library which is used to generate node embeddings from Knowledge graphs using GCN kernels and Graph Autoencoders. Variations include VanillaGCN,ChebyshevGCN and Spline GCN along with SDNe based Graph Autoencoder.

spectral spline gcn tf chebyshev-polynomials node-embedding sdne tensorflow2 gcn-filter vanillagcn

Updated Oct 3, 2021
HTML

benedekrozemberczki / GraRep

Sponsor

Star

A SciPy implementation of "GraRep: Learning Graph Representations with Global Structural Information" (WWW 2015).

deep-learning word2vec deepwalk matrix-factorization gensim svd embedding network-embedding nmf singular-value-decomposition node2vec graph-embedding graph2vec node-embedding tadw aane asne walklets grarep role2vec

Updated Mar 2, 2022
Python

benedekrozemberczki / TADW

Sponsor

Star

An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).

data-science machine-learning text-mining data-mining awesome word2vec deepwalk matrix-factorization gensim factorization unsupervised-learning embedding network-embedding nmf node2vec graph-embedding node-embedding tadw attributed-embedding 2vec

Updated Mar 2, 2022
Python

benedekrozemberczki / RolX

Sponsor

Star

An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)

machine-learning deep-learning tensorflow word2vec deepwalk matrix-factorization gensim factorization unsupervised-learning graph-mining embedding refex node2vec graph-embedding node-embedding struc2vec rolx implicit-factorization structural-embedding semisupervised-learning

Updated Mar 2, 2022
Python

benedekrozemberczki / FEATHER

Sponsor

Star

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