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william hamilton, wleif, will hamilton, will stanford, stanford nlp, snap, stanford snap, jure leskovec, dan jurafsky, computational social science, nlp, hamilton computer science, machine learning, c
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William L. Hamilton William L. Hamilton I am an Adjunct Professor of Computer Science at McGill University and a Senior Quantitative Researcher at Citadel LLC. I develop machine learning models that can reason about our complex, interconnected world. Broadly, my research interests lie at the intersection of machine learning, network science, and natural language processing, with a current emphasis on the fast-growing subjects of graph representation learning and graph neural networks . Note that I am no longer accepting new students, as I have shifted away from my full-time role at McGill University to an adjunct position. Publications 2021 Exploring the Limits of Few-Shot Link Prediction in Knowledge Graphs Dora Jambor, Komal Teru, Joelle Pineau, and William L. Hamilton Proceedings of EACL. 2021. pdf (arxiv) Do Syntax Trees Help Pre-trained Transformers Extract Information? Devendra Singh Sachan, Yuhao Zhang, Peng Qi, ...
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