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benedekrozemberczki / awesome-graph-classification

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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

shenweichen / GraphEmbedding

Star

Implementation and experiments of graph embedding algorithms.

line graph deepwalk node2vec struc2vec sdne

Updated May 23, 2022
Python

benedekrozemberczki / awesome-community-detection

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Star

A curated list of community detection research papers with implementations.

data-science machine-learning deep-learning social-network clustering community-detection network-science deepwalk matrix-factorization networkx dimensionality-reduction factorization network-analysis unsupervised-learning igraph embedding graph-clustering node2vec network-clustering bigclam

Updated Mar 2, 2022
Python

benedekrozemberczki / karateclub

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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 Jun 4, 2022
Python

benedekrozemberczki / CapsGNN

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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

Updated Mar 2, 2022
Python

dsgiitr / graph_nets

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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

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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 / ClusterGCN

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A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

deep-learning neural-network clustering community-detection pytorch deepwalk louvain metis graph-convolutional-networks gcn graph-clustering node2vec node-classification graphsage graph-neural-networks graph2vec diff2vec gemsec musae graph-convolution

Updated Mar 2, 2022
Python

benedekrozemberczki / GraphWaveletNeuralNetwork

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

Updated Mar 2, 2022
Python

benedekrozemberczki / datasets

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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 / MixHop-and-N-GCN

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An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).

machine-learning deep-learning tensorflow pytorch deepwalk convolutional-layers convolutional-neural-networks ngcn convolutional gcn node2vec pytorch-cnn graph-attention-networks multi-scale graph-representation-learning walklet graph-convolution graph-attention walklets mixhop

Updated Mar 2, 2022
Python

Synerise / cleora

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Cleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.

machine-learning ai graphs ml embeddings entity deepwalk datasets hypergraphs synerise pytorch-biggraph cleora-embeddings inductive-entity-embeddings

Updated Apr 21, 2022
Jupyter Notebook

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 / AttentionWalk

Sponsor

Star

A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).

machine-learning deep-learning tensorflow word2vec sklearn torch pytorch deepwalk matrix-factorization attention nips node2vec graph-neural-networks graph-representation-learning structural-attention implicit-factorization walklet graph-attention neurips neurips-2018

Updated Mar 2, 2022
Python

benedekrozemberczki / GAM

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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

Updated Mar 2, 2022
Python

benedekrozemberczki / SGCN

Sponsor

Star

A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).

machine-learning deep-learning neural-network pytorch deepwalk transformer network-embedding gcn node2vec graph-embedding node-classification graphsage graph-neural-networks graph-convolution graph-attention signed-network sgcn pytorch-geometric gpt2 gpt3

Updated Mar 2, 2022
Python

benedekrozemberczki / GEMSEC

Sponsor

Star

The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).

machine-learning facebook neural-network clustering tensorflow word2vec community-detection deezer deepwalk matrix-factorization gensim unsupervised-learning embedding network-embedding node2vec graph-embedding gemsec implicit-factorization semisupervised-learning m-nmf

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 / SEAL-CI

Sponsor

Star

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

Updated Mar 2, 2022
Python

xiangyue9607 / BioNEV

Star

Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)

gae deepwalk matrix-factorization network-embedding link-prediction node2vec graph-embedding node-classification graph-embedding-methods struc2vec sdne graph-embeddings-evaluation biomedical-networks line-embedding graph-factorization biomedical-graphs

Updated Apr 14, 2020
Python

benedekrozemberczki / DANMF

Sponsor

Star

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

Updated Mar 2, 2022
Python

xptree / NetMF

Star

Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec

social-network deepwalk matrix-factorization social-network-analysis network-embedding node2vec

Updated Jan 27, 2020
Python

triandicAnt / GraphEmbeddingRecommendationSystem

Star

Python based Graph Propagation algorithm, DeepWalk to evaluate and compare preference propagation algorithms in heterogeneous information networks from user item relation ship.

python graph rating prediction deepwalk recommendation-system graph-propagation-algorithm graph-embedding