network-embedding

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

A distributed graph deep learning framework.

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)

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

An Open-Source Package for Network Embedding (NE)

GraphVite: A General and High-performance Graph Embedding System

Heterogeneous Graph Neural Network

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

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

Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)

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, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding

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

Deep and conventional community detection related papers, implementations, datasets, and tools.

Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications

Representation-Learning-on-Heterogeneous-Graph