node-embedding
There are 55 repositories under node-embedding topic.
benedekrozemberczki/awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
benedekrozemberczki/pytorch_geometric_temporal
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
benedekrozemberczki/karateclub
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
dsgiitr/graph_nets
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
benedekrozemberczki/graph2vec
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
benedekrozemberczki/littleballoffur
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
benedekrozemberczki/datasets
A repository of pretty cool datasets that I collected for network science and machine learning research.
benedekrozemberczki/APPNP
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
benedekrozemberczki/Splitter
A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
benedekrozemberczki/DANMF
A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
benedekrozemberczki/role2vec
A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
benedekrozemberczki/MUSAE
The reference implementation of "Multi-scale Attributed Node Embedding". (Journal of Complex Networks 2021)
benedekrozemberczki/diff2vec
Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.
VGraphRNN/VGRNN
Variational Graph Recurrent Neural Networks - PyTorch
benedekrozemberczki/walklets
A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
benedekrozemberczki/tigerlily
TigerLily: Finding drug interactions in silico with the Graph.
GemsLab/REGAL
Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings
benedekrozemberczki/ASNE
A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).
benedekrozemberczki/TENE
A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).
benedekrozemberczki/SINE
A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).
benedekrozemberczki/RolX
An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)
abhilash1910/SpectralEmbeddings
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.
benedekrozemberczki/GraRep
A SciPy implementation of "GraRep: Learning Graph Representations with Global Structural Information" (WWW 2015).
benedekrozemberczki/TADW
An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).
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".
joshpxyne/deep-hyperedges
New Algorithms for Learning on Hypergraphs
XiaShan1227/Graphormer
Do Transformers Really Perform Bad for Graph Representation? [NIPS-2021]
benedekrozemberczki/BoostedFactorization
An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).
benedekrozemberczki/OrbitalFeatures
A sparsity aware implementation of "Biological Network Comparison Using Graphlet Degree Distribution" (Bioinformatics 2007)
daiquocnguyen/Caps2NE
A Capsule Network-based Model for Learning Node Embeddings (CIKM 2020)
benedekrozemberczki/resolutions-2019
A list of data mining and machine learning papers that I implemented in 2019.
benedekrozemberczki/FSCNMF
An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".
SINr-Embeddings/sinr
The SINr approach to train interpretable word and graph embeddings
manoelhortaribeiro/GraphSageHatefulUsers
Simple reference implementation of GraphSAGE.
AstraZeneca/NESS
Official implementation of "NESS: Node Embeddings from Static Subgraphs"
benedekrozemberczki/GRAF
Inner product natural graph factorization machine used in 'GEMSEC: Graph Embedding with Self Clustering' .