There are 27 repositories under network-embedding topic.
A collection of important graph embedding, classification and representation learning papers with implementations.
A curated list of network embedding techniques.
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
GraphVite: A General and High-performance Graph Embedding System
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
A repository of pretty cool datasets that I collected for network science and machine learning research.
word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding
Deep and conventional community detection related papers, implementations, datasets, and tools.
Representation-Learning-on-Heterogeneous-Graph
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
[AAAI 2023] An official source code for paper Hard Sample Aware Network for Contrastive Deep Graph Clustering.
The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)
Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications
[AAAI 2022] An official source code for paper Deep Graph Clustering via Dual Correlation Reduction.
A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
Paper list in traffic prediction field
A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).