A collection of important graph embedding, classification and representation learning papers with implementations.
翻译 - 一系列重要的图形嵌入，分类和表示学习论文以及实现。
#计算机科学#A distributed graph deep learning framework.
翻译 - 分布式图深度学习框架。
#计算机科学#A curated list of community detection research papers with implementations.
翻译 - 精选的社区检测研究论文及其实现。
#计算机科学#Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
翻译 - 通用社区检测和网络嵌入库，用于基于NetworkX构建的研究。
#计算机科学#A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
翻译 - “胶囊图神经网络”的PyTorch实现（ICLR 2019）。
#计算机科学#A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
翻译 - “ graph2vec：学习图的分布式表示形式”（MLGWorkshop 2017）的并行实现。
#计算机科学#A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
#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#A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
#计算机科学#An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
#计算机科学#A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
Representation learning for link prediction within social networks
#计算机科学#A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
#计算机科学#A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
#计算机科学#A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
#计算机科学#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)
#计算机科学#A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
#计算机科学#A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)