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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
Implementation and experiments of graph embedding algorithms.
Created
2019-02-11
30 commits to master branch, last one 2 years ago
A curated list of community detection research papers with implementations.
Created
2018-10-10
481 commits to master branch, last one 8 months 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
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
Created
2019-01-29
180 commits to master branch, last one about a year 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
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
Created
2019-06-17
144 commits to master branch, last one 2 years 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 "Graph Wavelet Neural Network" (ICLR 2019)
Created
2019-01-18
118 commits to master branch, last one about a year ago
Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.
Created
2020-11-05
122 commits to master branch, last one 5 days ago
An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
Created
2019-02-23
141 commits to master branch, last one 2 years 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 "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
Created
2019-01-11
84 commits to master branch, last one 2 years ago
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
Created
2018-12-28
95 commits to master branch, last one 2 years ago
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
Created
2018-12-07
135 commits to master branch, last one about a year ago
The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
Created
2018-01-23
157 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 PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
gcn
gnn
pytorch
deepwalk
node2vec
tensorflow
deep-learning
active-learning
graph-embedding
graph-convolution
network-embedding
node-classification
graph-classification
graph-neural-network
graph-neural-networks
active-learning-module
deep-learning-algorithms
machine-learning-algorithms
graph-convolutional-networks
graph-representation-learning
Created
2019-04-23
126 commits to master branch, last one 2 years 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
An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)
Created
2019-07-30
80 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
An implementation of "Community Preserving Network Embedding" (AAAI 2017)
Created
2018-05-22
70 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
DeepWalk implementation in C++
Created
2017-08-28
32 commits to master branch, last one 6 months ago
A sparsity aware implementation of "Binarized Attributed Network Embedding" (ICDM 2018).
Created
2018-11-14
65 commits to master branch, last one about a year 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