Heterogeneous Graph Neural Network

Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

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

Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding

异构图神经网络HAN。Heterogeneous Graph Attention Network (HAN) with pytorch

Hetnets in Python (relocated from dhimmel/hetio)

A heterogeneous entity-augmented academic language model based on Open Academic Graph (OAG)

Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on Deep Graph Library (DGL)

A paper list of research about social knowledge graph

This repository collects recent top papers about knowledge-aware recommendations. We will keep updating the paper list weekly.

Inspired by Hillebrand & Medeiros (2009) and Corsi (2009), I put neural networks in a High frequency environment, and tested the performance of the two models (HAR & Neural Networks). - The data used in this project is 2 years worth of intraday 5-minute realized volatility (See: Sheppard, Patton, Liu, 2012) from 20 Dow Jones stocks, that has bee…

Network inference by fusing data from diverse distributions

The repository of SiamHAN, an IPv6 address correlation model on TLS encrypted traffic. The work has been accepted as USENIX Security 2021 accepted Paper.

Predicting lncRNA-disease associations in heterogeneous network based on deep learning method.

A Network Integration Approach for Drug-Target Interaction Prediction

Task-Guided Pair Embedding in Heterogeneous Network (CIKM 2019)

Framework for latent network summarization: bridging network embedding and summarization

Heterogenous Graph Representation learning on Diffbot's Knowledge Graph. Includes asynchronous BFS traversal on Diffbot's Knowledge Graph, Diffbot's enhance API to build custom graph dataset and models to run on these graphs.

Predicting Anchor Links between Heterogeneous Social Networks (ASONAM 2016)

Library for analyzing typed graphs.