network-embedding

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

#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)

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)

An Open-Source Package for Network Embedding (NE)

#计算机科学#GraphVite: A General and High-performance Graph Embedding System

Heterogeneous Graph Neural Network

#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).

#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...

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

Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"

Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications

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