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Copy file name to clipboardExpand all lines: authors/chaitanya-joshi/index.html
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<metaname="description" content="The NTU Graph Deep Learning Lab, headed by Dr. Xavier Bresson, investigates fundamental techniques in Graph Deep Learning, a new framework that combines graph theory and deep neural networks to tackle complex data domains in physical science, natural language processing, computer vision, and combinatorial optimization.">
<metaproperty="og:title" content=" | NTU Graph Deep Learning Lab">
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<metaproperty="og:description" content="The NTU Graph Deep Learning Lab, headed by Dr. Xavier Bresson, investigates fundamental techniques in Graph Deep Learning, a new framework that combines graph theory and deep neural networks to tackle complex data domains in physical science, natural language processing, computer vision, and combinatorial optimization."><metaproperty="og:image" content="https://graphdeeplearning.github.io/img/icon-192.png">
<p>Chaitanya Joshi is a Research Assistant under Dr. Xavier Bresson at NTU, Singapore.
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His current research focuses on the emerging field of Graph Deep Learning and its applications for Operations Research and Combinatorial Optimization.</p>
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<p>He graduated from NTU in 2019 as the Valedictorian of his cohort with a BEng in Computer Science and a specialization in Artificial Intelligence.
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He is passionate about building data-driven solutions for real-world problems, and has 3+ years of experience doing the same at companies and research labs in Singapore and Switzerland.
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He has co-authored 3 US patent applications and 4 research papers at top Machine Learning conferences such as NeurIPS and ICLR.</p>
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<p>Chaitanya Joshi is a Research Assistant under Dr. Xavier Bresson at NTU, Singapore. His current research focuses on the emerging field of Graph Deep Learning and its applications for Operations Research and Combinatorial Optimization.</p>
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<p>He graduated from NTU in 2019 as the Valedictorian of his cohort with a BEng in Computer Science and a specialization in Artificial Intelligence. He is passionate about building data-driven solutions for real-world problems, and has 3+ years of experience doing the same at companies and research labs in Singapore and Switzerland. He has co-authored patent applications and research papers at top Machine Learning conferences such as NeurIPS and ICLR.</p>
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<h3>Latest</h3>
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<li>
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<ahref="/post/transformers-are-gnns/">Transformers are Graph Neural Networks</a>
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