Graph Self-Attention Network for Learning Spatial-Temporal Interaction Representation in Autonomous Driving

Code for paper Graph Self-Attention Network for Learning Spatial-Temporal Interaction Representation in Autonomous Driving, which was published on IEEE Internet of Things Journal. @article{ye2021gsan, title={GSAN: Graph Self-Attention Network for Learning Spatial-Temporal Interaction Representation in Autonomous Driving}, author={Ye, Luyao and Wang, Zezhong and Chen, Xinhong and Wang, Jianping and Wu, Kui and Lu, Kejie}, journal={IEEE Internet of Things Journal}, year={2021}, publisher={IEEE} }    

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Integrating Oxylabs’ Residential Proxies with AIOHTTP

Requirements for the Integration For the integration to work you’ll need to install aiohttp library, use Python 3.6 version or higher and Residential Proxies. If you don’t have aiohttp library, you can install it by using pip command: You can get Residential Proxies here: https://oxylabs.io/products/residential-proxy-pool Proxy Authentication There are 2 ways to authenticate proxies with aiohttp.The first way is to authorize and pass credentials along with the proxy URL using aiohttp.BasicAuth:

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Kaggle G2Net Gravitational Wave Detection : 2nd place solution

Solution writeup: https://www.kaggle.com/c/g2net-gravitational-wave-detection/discussion/275341 Instructions 1. Download data You have to download the competition dataset from competition website,and place the files in input/ directory. ┣ input/ ┃ ┣ training_labels.csv ┃ ┣ sample_submission.csv ┃ ┣ train/ ┃ ┣ test/ ┃ ┣ configs.py ┣ … (Optional:) Add your hardware configurations

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