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George E. Dahl

George E. Dahl has 2 papers in our library, in 2007–2017, most of them on English; often with Oriol Vinyals, Richard Wicentowski.

2 papers in our library · 2007–2017

OpenAlex · ORCID · h-index 34 · 61 works · 34,274 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 659 times in our library · 4 more in our library without a page yet · ⭐ Paper Stars ranking: #850

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏢Google DeepMindLondon · United Kingdom2026 · 1 papercurrent🏢GoogleMountain View · United States2017–2022 · 20 papersEmployment🎓University of TorontoToronto · Canada2008–2015 · 17 papersEducation 2008–2015 · Ph.D., Computer Science🎓Swarthmore CollegeSwarthmore · United States2007–2008 · 2 papers

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 9The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksAtomic and Molecular Physics, and Optics · 1 workComputational Theory and Mathematics · 1 workMaterials Chemistry · 1 workMaterials Science · 1 workPhysics and Astronomy · 1 workArtificial Intelligence · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 work

🧭 Topics 1Research subjects and languages the work is about.English · 1 work

 Works by year

2010s

20171 paper

2000s

20071 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Neural Message Passing for 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 (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 ChemistryarXiv:1704.01212Justin Gilmer, Samuel S. Schoenholz, Patrick F. Riley, et al.2017 · 3,793 citations
  2. Prediction Errors of Molecular Machine Learning Models Lower than Hybrid DFT Error ↗Journal of Chemical Theory and Computation · no summary yetFelix A. Faber et al.2017 · 646 citations
  3. What Will it Take to Fix Benchmarking in Natural Language Understanding? ↗Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetSamuel R. Bowman, George Dahl2021 · 204 citations
  4. Message Passing Neural Networks ↗Lecture notes in physics · no summary yetJustin Gilmer et al.2020 · 153 citations
  5. Multi-task Neural Networks for QSAR Predictions ↗arXiv (Cornell University) · no summary yetGeorge E. Dahl, Navdeep Jaitly, Ruslan Salakhutdinov2014 · 144 citations
  6. SW-AG: Local Context Matching for English Lexical SubstitutionInternational Workshop on Semantic EvaluationsGeorge Dahl, Anne-Marie Frassica, Richard Wicentowski2007 · 12 citations

 Co-authors here

2 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 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 →.

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