--- title: "George E. Dahl · Google DeepMind — author profile and papers" description: "George E. Dahl, Google DeepMind: 2 papers on Elamur Research (2007–2017), h-index 34 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/george-e-dahl/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/george-e-dahl/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / George E. Dahl # George E. Dahl George E. Dahl has 2 papers in our library, in 2007–2017, most of them on [English](https://md.research.elamur.ai/free/en/topics/english/); often with [Oriol Vinyals](https://md.research.elamur.ai/free/en/authors/oriol-vinyals/), [Richard Wicentowski](https://md.research.elamur.ai/free/en/authors/richard-wicentowski/). 2 papers in our library · 2007–2017 [OpenAlex](https://openalex.org/A5047062711) · [ORCID](https://orcid.org/0000-0002-0083-844X) · [**h-index 34**](https://openalex.org/authors/A5047062711) · [61 works](https://openalex.org/works?filter=author.id:A5047062711) · [34,274 citations](https://openalex.org/works?filter=author.id:A5047062711&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/george-e-dahl/#papers) · [🔗 Cited 659 times in our library](https://md.research.elamur.ai/free/en/authors/george-e-dahl/cited-by/) · [4 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #850](https://md.research.elamur.ai/free/en/paper-stars/page/9/#star-850) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=George+E.+Dahl) · [Semantic Scholar](https://www.semanticscholar.org/search?q=George+E.+Dahl) · [dblp](https://dblp.org/search?q=George+E.+Dahl) · [ACL Anthology](https://aclanthology.org/search/?q=George+E.+Dahl) ## Affiliations [🏢**Google DeepMind** London · United Kingdom 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/google-deepmind/) · [🏢**Google** Mountain View · United States 2017–2022 · 20 papersEmployment](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**University of Toronto** Toronto · Canada 2008–2015 · 17 papersEducation 2008–2015 · Ph.D., Computer Science](https://md.research.elamur.ai/free/en/universities/university-of-toronto/) · [🎓**Swarthmore College** Swarthmore · United States 2007–2008 · 2 papers](https://md.research.elamur.ai/free/en/universities/swarthmore-college/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 9 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Atomic and Molecular Physics, and Optics · 1 work](https://md.research.elamur.ai/free/en/shelves/physics-and-astronomy/atomic-and-molecular-physics-and-optics/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Materials Chemistry · 1 work](https://md.research.elamur.ai/free/en/shelves/materials-science/materials-chemistry/) · [Materials Science · 1 work](https://md.research.elamur.ai/free/en/shelves/materials-science/) · [Physics and Astronomy · 1 work](https://md.research.elamur.ai/free/en/shelves/physics-and-astronomy/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 1 Research subjects and languages the work is about.[English · 1 work](https://md.research.elamur.ai/free/en/topics/english/) ## Works by year ### 2010s [**2017** 1 paper](https://md.research.elamur.ai/free/en/authors/george-e-dahl/year/2017/) ### 2000s [**2007** 1 paper](https://md.research.elamur.ai/free/en/authors/george-e-dahl/year/2007/) ## Papers The most cited first (OpenAlex and our library). 1. **[Neural Message Passing for Quantum Chemistry](https://md.research.elamur.ai/free/en/papers/gilmer-2017-neural-message-passing-quantum-chemistry/)** *(2017 · 3,793 citations)* The paper tackles predicting quantum-mechanical properties of small organic molecules. These properties are normally obtained from slow DFT simulations. The authors note that many existing neural models for graphs share one structure, and they recast at least eight of them as Message Passing Neural Networks (MPNNs).… 2. **[SW-AG: Local Context Matching for English Lexical Substitution](https://md.research.elamur.ai/free/en/papers/dahl-2007-sw-ag-local-context-matching/)** *(2007 · 12 citations)* The paper describes two unsupervised, knowledge-light systems for the SemEval-2007 English lexical substitution task. ## All works 6 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. [**Neural Message Passing for Quantum Chemistry arXiv:1704.01212**Justin Gilmer, Samuel S. Schoenholz, Patrick F. Riley, et al.*2017 · 3,793 citations*](https://md.research.elamur.ai/free/en/papers/gilmer-2017-neural-message-passing-quantum-chemistry/) 2. **[Prediction Errors of Molecular Machine Learning Models Lower than Hybrid DFT Error ↗](https://doi.org/10.1021/acs.jctc.7b00577) Journal of Chemical Theory and Computation · no summary yet**Felix A. Faber et al.*2017 · 646 citations* 3. **[What Will it Take to Fix Benchmarking in Natural Language Understanding? ↗](https://aclanthology.org/2021.naacl-main.385/) Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Samuel R. Bowman, George Dahl*2021 · 204 citations* 4. **[Message Passing Neural Networks ↗](https://doi.org/10.1007/978-3-030-40245-7_10) Lecture notes in physics · no summary yet**Justin Gilmer et al.*2020 · 153 citations* 5. **[Multi-task Neural Networks for QSAR Predictions ↗](https://arxiv.org/abs/1406.1231) arXiv (Cornell University) · no summary yet**George E. Dahl, Navdeep Jaitly, Ruslan Salakhutdinov*2014 · 144 citations* 6. **[SW-AG: Local Context Matching for English Lexical Substitution](https://md.research.elamur.ai/free/en/papers/dahl-2007-sw-ag-local-context-matching/) [International Workshop on Semantic Evaluations](https://md.research.elamur.ai/free/en/venues/international-workshop-on-semantic-evaluations/)**George Dahl, Anne-Marie Frassica, Richard Wicentowski*2007 · 12 citations* ## Co-authors here 2 co-authors with a page, the most papers together first. - [Oriol Vinyals](https://md.research.elamur.ai/free/en/authors/oriol-vinyals/) - [Richard Wicentowski](https://md.research.elamur.ai/free/en/authors/richard-wicentowski/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [International Workshop on Semantic Evaluations](https://md.research.elamur.ai/free/en/venues/international-workshop-on-semantic-evaluations/): [International Workshop on Semantic Evaluations 2007](https://md.research.elamur.ai/free/en/venues/international-workshop-on-semantic-evaluations/2007/) - Journal of Chemical Theory and Computation - Lecture notes in physics - Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ## Cited by Papers of our library cite their works 659 times (of the 149,439 papers whose bibliographies we read); [51 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/george-e-dahl/cited-by/). Updated 31 October 2026