🧑‍🔬 Who cites Alvaro Sanchez-Gonzalez

208 citations of their works from 204 papers of our library (of the 149,439 whose bibliographies we read) · 28 with a page here, the most cited first · ← Alvaro Sanchez-Gonzalez

1. A Comprehensive Survey on Graph Neural NetworksIEEE Transactions on Neural Networks and Learning SystemsZonghan Wu, Shirui Pan, Fengwen Chen, et al.2019 · 10,312 citations
2. SuperGlue: Learning Feature Matching with Graph Neural NetworksIEEE Computer Society Conference on Computer Vision and Pattern RecognitionPaul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz, et al.2019 · 2,921 citations
3. Fast Graph Representation Learning with PyTorch GeometricarXiv:1903.02428Matthias Fey, Jan Eric Lenssen2019 · 1,440 citations
4. Discovering Symbolic Models from Deep Learning with Inductive BiasesarXiv:2006.11287Miles Cranmer, Alvaro Sanchez-Gonzalez, Peter Battaglia, et al.2020 · 272 citations
5. Scalable agent alignment via reward modeling: a research directionarXiv:1811.07871Jan Leike, David Krueger, Tom Everitt, et al.2018 · 227 citations
6. Interpretable Machine Learning for Science with PySR and SymbolicRegression.jlarXiv:2305.01582Miles Cranmer (Princeton University, Flatiron Institute)2023 · 216 citations
7. Multimodal Transformer for Multimodal Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Shaowei Yao, Xiaojun Wan2020 · 200 citations
8. Neural Networks and the Chomsky HierarchyarXiv:2207.02098Grégoire Delétang, Anian Ruoss, Jordi Grau-Moya, et al.2022 · 112 citations
9. AMR-To-Text Generation with Graph TransformerTransactions of the Association for Computational Linguistics (TACL)Tianming Wang, Xiaojun Wan, Hanqi Jin2020 · 108 citations
10. Graph-based Dependency Parsing with Graph Neural NetworksAnnual Meeting of the Association for Computational Linguistics (ACL)Tao Ji, Yuanbin Wu, Man Lan2019 · 94 citations
11. Improving Compositional Generalization with Latent Structure and Data AugmentationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Linlu Qiu, Peter Shaw, Panupong Pasupat, et al.2022 · 76 citations
12. StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in TextsZhengxiang Shi, Qiang Zhang, Aldo Lipani2022 · 71 citations
13. CoPhy: Counterfactual Learning of Physical DynamicsarXiv:1909.12000Fabien Baradel, Natalia Neverova, Julien Mille, et al.2019 · 40 citations
14. Graph Representations for Higher-Order Logic and Theorem ProvingProceedings of the AAAI Conference on Artificial IntelligenceAditya Paliwal, Sarah Loos, Markus Rabe, et al.2019 · 33 citations
15. End-to-end symbolic regression with transformersarXiv:2204.10532Pierre-Alexandre Kamienny, Stéphane d'Ascoli, Guillaume Lample, et al.2022 · 27 citations
16. Beyond Leaderboards: A survey of methods for revealing weaknesses in Natural Language Inference data and modelsarXiv:2005.14709Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro2020 · 24 citations
17. Symbolic Regression with a Learned Concept LibraryConference on Neural Information Processing Systems (NeurIPS)Arya Grayeli, Atharva Sehgal, Omar Costilla-Reyes, et al.2024 · 23 citations
18. Physion: Evaluating Physical Prediction from Vision in Humans and MachinesarXiv:2106.08261Daniel M. Bear, Elias Wang, Damian Mrowca, et al.2021 · 23 citations
19. Understanding Transformer Reasoning Capabilities via Graph AlgorithmsConference on Neural Information Processing Systems (NeurIPS)Clayton Sanford, Bahare Fatemi, Ethan Hall, et al.2024 · 21 citations
20. Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery SystemsMachine LearningStefan Kramer, Mattia Cerrato, Jannis Brugger, et al.2023 · 13 citations
21. Neuro-Symbolic Artificial Intelligence: Current TrendsarXiv:2105.05330Md Kamruzzaman Sarker, Lu Zhou, Aaron Eberhart, et al.2021 · 12 citations
22. SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-trainingarXiv:2310.02227Kazem Meidani, Parshin Shojaee, Chandan K. Reddy, et al.2023 · 8 citations
23. Neurosymbolic Programming for SciencearXiv:2210.05050Jennifer J. Sun, Megan Tjandrasuwita, Atharva Sehgal, et al.2022 · 6 citations
24. From Statistical Relational to Neurosymbolic Artificial Intelligence: a SurveyarXiv:2108.11451Giuseppe Marra, Sebastijan Dumančić, Robin Manhaeve, et al.2021 · 3 citations
25. Graph-Based Alternatives to LLMs for Human SimulationAnnual Meeting of the Association for Computational Linguistics (ACL)Joseph Suh, Suhong Moon, Serina Chang2026
26. MuSe: Multi-Stage Graph Reasoning via Vision-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Guanyu Wang, Xu Chu, Zhijie Tan, et al.2026
27. Methods for Constraint Solving Problems Based on Learn to Reason Model: A Review (基于学习-推理的约束求解方法研究进展)Journal of SoftwareYue Zou (邹悦), Jiayang Lai (赖家洋), Yonggang Zhang (张永刚)2023
28. Overview on Knowledge Graph Embedding Technology Research (知识图谱嵌入技术研究综述)Journal of SoftwareTiancheng Zhang (张天成), Xue Tian (田雪), Xianghui Sun (孙相会), et al.2021

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