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#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 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 Classification Using Structural Attention" (KDD 2018).
Smart contract vulnerability detection using graph neural network (DR-GCN).
#计算机科学#An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)
A sparsity aware implementation of "Binarized Attributed Network Embedding" (ICDM 2018).
#计算机科学#A SciPy implementation of "GraRep: Learning Graph Representations with Global Structural Information" (WWW 2015).
#计算机科学#The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
#计算机科学#The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".
#计算机科学#An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".
Visual Analysis of Temporal Summaries in Dynamic Graphs (IEEE TVCG)
#计算机科学#Graph and Nodes embeddings for downstream tasks
#自然语言处理#This project contain implementation the system, proposed in the "Adapting the Graph2Vec Approach to Dependency Trees for NLP Tasks" (O. Durandin, A. Malafeev), and presented in the AIST-2019 Conferenc...