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[WWW'2023] "AutoST: Automated Spatio-Temporal Graph Contrastive Learning"

Home Page: https://arxiv.org/abs/2305.03920

Python 100.00%
contrastive-learning graph-neural-networks intelligent-transportation-systems self-supervised-learning spatio-temporal-data-mining urban-computing

autost's Introduction

Hi there 👋

✨Welcome to the Data Intelligence Lab @ HKU!✨

🚀 Our Lab is Passionately Dedicated to Exploring the Forefront of the Data Science & AI 👨‍💻

       

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autost's Issues

Question about POI Context Embedding Layer

Dear Authors,

Thanks for your WWW23 paper.
I noticed that in Section 3.1 POI Context Embedding Layer of your paper, you mentioned using the skip-gram model.
I was curious how do your apply it to region POI vectors.
So I looked at your source code: pre_poi_transformer.py # obatining the features of nodes by Transformer and Skip-gram
and found that it only covers nn.Embedding.

Did I missed something? Could you please help me understand the issue? I would greatly appreciate any assistance you can provide. Thank you so much.

Best,
Chuang Yang

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