- π Iβm currently working on graph neural networks for applications in physics and optical fibre communication systems.
- π± Iβm currently learning how to reliably scale machine learning models in production
- π― Iβm looking to collaborate with scientists, physicists and machine learning engineers.
Machine Learning for Physics π° Network Science + Graph Neural Nets 𧬠AI for Environment πΏ & Social Good π
Highlights
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akanksha-ahuja.github.io
akanksha-ahuja.github.io PublicPersonal Website for Projects and Professional Experiences as a Research Engineer.
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FCCML/fccml-thesis
FCCML/fccml-thesis PublicMaster's Thesis on Graph Neural Networks at University of Oxford and CERN
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awesome-GNNs
awesome-GNNs PublicOverview of Research Papers and Resources for Graph Neural Networks and Graph Machine Learning
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FOCS-AI/linkwise
FOCS-AI/linkwise PublicTopology-Driven Edge Predictions with Graph Machine Learning for Optical Network Growth: Graph representation learning on real-world optical core networks outperforms edge prediction heuristics by β¦
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