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#PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
翻译 - PyTorch Geometric的时间扩展库
A curated list of network embedding techniques.
Must-read papers on network representation learning (NRL) / network embedding (NE)
#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#GraphVite: A General and High-performance Graph Embedding System
翻译 - GraphVite:通用的高性能图形嵌入系统
#计算机科学#Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
#计算机科学#A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
翻译 - PyTorch实现的“ SimGNN:一种用于快速图相似度计算的神经网络方法”(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.
word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, informati...
Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"
#计算机科学#Deep and conventional community detection related papers, implementations, datasets, and tools.
#计算机科学#Representation-Learning-on-Heterogeneous-Graph
Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications