Jhy1993/HAN
Implementation of a graph attention network for heterogeneous graphs published at WWW-2019.
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This repository provides the source code for Heterogeneous Graph Attention Network (HAN), a deep learning model that applies attention mechanisms to learn optimal aggregation of neighbor information across different node and edge types in heterogeneous graphs. The model performs semi-supervised learning using meta-path based adjacencies and produces node embeddings for classification tasks.
Frequently asked
- What is Jhy1993/HAN?
- Implementation of a graph attention network for heterogeneous graphs published at WWW-2019.
- Is HAN open source?
- Yes — Jhy1993/HAN is an open-source project tracked on heatdrop.
- What language is HAN written in?
- Jhy1993/HAN is primarily written in Python.
- How popular is HAN?
- Jhy1993/HAN has 1.2k stars on GitHub.
- Where can I find HAN?
- Jhy1993/HAN is on GitHub at https://github.com/Jhy1993/HAN.