graph-embedding

A collection of important graph embedding, classification and representation learning papers with implementations.

#计算机科学#Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

#计算机科学#A distributed graph deep learning framework.

#计算机科学#PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

#计算机科学#Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

#计算机科学#Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

#计算机科学#A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

#计算机科学#A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

#计算机科学#Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)

#计算机科学#A repository of pretty cool datasets that I collected for network science and machine learning research.

#计算机科学#Minimum-distortion embedding with PyTorch

#计算机科学#Deep and conventional community detection related papers, implementations, datasets, and tools.

Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications

Recommender Systems Paperlist that I am interested in

#计算机科学#Representation-Learning-on-Heterogeneous-Graph

#计算机科学#A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).

Representation learning on dynamic graphs using self-attention networks