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This GitHub repository provides an implementation of the paper "MAGNET: Multi-Label Text Classification using Attention-based Graph Neural Network" . MAGNET is a state-of-the-art approach for multi-label text classification, leveraging the power of graph neural networks (GNNs) and attention mechanisms.

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adjacency-matrix attention-mechanism bert bert-embeddings bilstm binary-relevance classifier-chains cnn embeddings glove-embeddings

magnet-multi-label-text-classi-cation-using-attention-based-graph-neural-network's Introduction

Hi ๐Ÿ‘‹, I'm Aakash Tripathi

I am an MTech CSE Student at IIIT Hyderabad(2022-2024) keen on learning Efficient Computer Science Algorithms, building efficient and scalable systems and Data Exploration by leveraging ML/DL algorithms. I am passionate about different domains in Computer Science and exploring them.

akash18tripathi

  • ๐Ÿ”ญ Iโ€™m currently working with Media.Net as an SDE Intern.

  • ๐ŸŒฑ Iโ€™m currently learning High Level Design and Low Level Design and Implementing Machine Learning Algorithms from Scratch for deeper understanding

  • ๐Ÿ‘ฏ Iโ€™m Constantly Improving on Advance Data Structures and Algorithms

  • ๐Ÿ’ฌ Ask me about Core Computer Science Concepts based on DBMS,Networking,etc..

  • ๐Ÿ“ซ How to reach me [email protected]

  • โšก Fun fact I think I am Noob at everything! :)

Connect with me:

aakash-tripathi-389658172 akash18tripath akash18tripathi @aakash592 akash18tripathi

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android bash bootstrap cplusplus css3 docker firebase flask git heroku hive html5 java javascript jenkins kafka linux mongodb mysql nginx opencv pandas postman python pytorch scikit_learn seaborn sqlite tensorflow

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