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Major updates
- Updated site theme and profiles - Added blog posts - Misc
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<li><a href="/post/transformers-are-gnns/">Transformers are Graph Neural Networks</a></li>
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<li><a href="/project/sketches/">Free-hand Sketches</a></li>
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<li><a href="/publication/xu-2019-multi/">Multi-Graph Transformer for Free-Hand Sketch Recognition</a></li>
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<li><a href="/project/spatial-convnets/">Spatial Graph ConvNets</a></li>
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<li><a href="/talk/ipam-may2019/">Graph Convolutional Neural Networks for Molecule Generation and Travelling Salesman Problem</a></li>
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<meta name="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.">
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<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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<a href="/post/transformers-are-gnns/">Transformers are Graph Neural Networks</a>
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