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A collection of important graph embedding, classification and representation learning papers with implementations.
netlsd
deepwalk
node2vec
graph2vec
graph-kernel
graph-kernels
kernel-methods
node-embedding
graph-embedding
network-embedding
weisfeiler-lehman
deep-graph-kernels
attention-mechanism
graph-classification
structural-attention
graph-attention-model
classification-algorithm
graph-attention-networks
graph-convolutional-networks
graph-representation-learning
Created
2018-07-14
422 commits to master branch, last one about a year ago
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
gcn
gnn
pytorch
spatial-data
deep-learning
temporal-data
node-embedding
spatiotemporal
graph-embedding
network-science
temporal-graphs
spatial-analysis
graph-convolution
network-embedding
temporal-networks
spatio-temporal-data
graph-neural-networks
spatio-temporal-analysis
graph-convolutional-networks
Created
2020-06-27
1,949 commits to master branch, last one about a month ago
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Created
2019-12-05
2,319 commits to master branch, last one 4 months ago
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
Created
2019-08-07
98 commits to master branch, last one 3 years ago
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
Created
2018-07-10
87 commits to master branch, last one 2 years ago
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
Created
2020-05-03
1,439 commits to master branch, last one about a year ago
A repository of pretty cool datasets that I collected for network science and machine learning research.
Created
2019-04-07
335 commits to master branch, last one 8 months ago
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
Created
2019-02-12
155 commits to master branch, last one 2 years ago
A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
gensim
pytorch
deepwalk
node2vec
word2vec
clustering
word-vector
deep-learning
ego-splitting
factorization
node-embedding
graph-embedding
machine-learning
network-embedding
community-detection
deep-neural-network
graph-neural-network
implicit-factorization
graph-representation-learning
overlapping-community-detection
Created
2019-03-17
126 commits to master branch, last one about a year ago
A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
Created
2018-11-22
76 commits to master branch, last one about a year ago
A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
Created
2019-01-27
119 commits to master branch, last one 2 years ago
The reference implementation of "Multi-scale Attributed Node Embedding". (Journal of Complex Networks 2021)
Created
2019-04-17
182 commits to master branch, last one 2 years ago
Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.
Created
2017-10-13
131 commits to master branch, last one 2 years ago
A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
Created
2018-08-09
97 commits to master branch, last one about a year ago
TigerLily: Finding drug interactions in silico with the Graph.
Created
2022-02-28
104 commits to main branch, last one about a year ago
Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings
Created
2018-08-25
10 commits to master branch, last one 3 years ago
A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).
Created
2018-10-05
78 commits to master branch, last one 2 years ago
A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).
asne
tadw
pytorch
deepwalk
node2vec
tensorflow
deep-learning
node-embedding
graph-embedding
machine-learning
graph-convolution
network-embedding
feature-extraction
node-classification
pattern-recognition
attributed-embedding
graph-neural-network
matrix-decomposition
matrix-factorization
implicit-factorization
Created
2018-12-06
45 commits to master branch, last one 2 years ago
A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).
Created
2019-01-07
92 commits to master branch, last one about a year ago
An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)
Created
2018-05-29
68 commits to master branch, last one 2 years ago
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 ...
Created
2021-08-16
19 commits to master branch, last one 3 years ago
A SciPy implementation of "GraRep: Learning Graph Representations with Global Structural Information" (WWW 2015).
Created
2019-05-06
71 commits to master branch, last one 2 years ago
An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).
Created
2018-09-18
83 commits to master branch, last one 2 years ago
The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".
Created
2020-02-17
139 commits to master branch, last one about a year ago
Do Transformers Really Perform Bad for Graph Representation? [NIPS-2021]
Created
2024-04-23
3 commits to master branch, last one 24 days ago