#Graph-embedding
Showing 20 of 20 repositories tagged #graph-embedding, ranked by stars
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
A distributed graph deep learning framework.
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
[IEEE T-KDE 2026] Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
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)
A repository of pretty cool datasets that I collected for network science and machine learning research.
Minimum-distortion embedding with PyTorch
Deep and conventional community detection related papers, implementations, datasets, and tools.
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.
TigerLily: Finding drug interactions in silico with the Graph.
A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).
CogDL-TensorFlow: The TensorFlow Implementation of CogDL. With Support from Professor Jie Tang.
An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).
A large-scale database for graph representation learning
The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".