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Who cites «Learning to Represent Programs with Graphs»

81 papers of our library cite it (of the 149,439 whose bibliographies we read) · 16 with a page here, the most cited first · ← back to «Learning to Represent Programs with Graphs»

  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. Relational inductive biases, deep learning, and graph networksarXiv:1806.01261Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst, et al.2018 · 2,335 citations
  3. Program Synthesis with Large Language ModelsarXiv:2108.07732Jacob Austin, Augustus Odena, Maxwell Nye, et al.2021 · 1,192 citations
  4. SWE-bench: Can Language Models Resolve Real-World GitHub Issues?arXiv:2310.06770Carlos E. Jimenez, John Yang, Alexander Wettig, et al.2024 · 704 citations
  5. Show your work: Scratchpads for intermediate computation with language models2021 · 473 citations
  6. GraphCodeBERT: Pre-training Code Representations with Data FlowarXiv:2009.08366Daya Guo, Shuo Ren, Shuai Lu, et al.2021 · 332 citations
  7. The Adverse Effects of Code Duplication in Machine Learning Models of CodearXiv:1812.06469Miltiadis Allamanis2018 · 319 citations
  8. Learning to Optimize Tensor ProgramsarXiv:1805.08166Tianqi Chen, Lianmin Zheng, Eddie Yan, et al.2019 · 269 citations
  9. A Survey of Machine Learning for Big Code and NaturalnessACM Computing SurveysMiltiadis Allamanis, Earl T. Barr, Premkumar Devanbu, et al.2017 · 167 citations
  10. SPoC: Search-based Pseudocode to CodearXiv:1906.04908Sumith Kulal, Panupong Pasupat, Kartik Chandra, et al.2019 · 96 citations
  11. Learning to Prove Theorems via Interacting with Proof AssistantsarXiv:1905.09381Kaiyu Yang, Jia Deng2019 · 90 citations
  12. code2seq: Generating Sequences from Structured Representations of CodearXiv:1808.01400Uri Alon, Shaked Brody, Omer Levy, et al.2018 · 72 citations
  13. Stable Code Technical ReportarXiv:2404.01226Nikhil Pinnaparaju, Reshinth Adithyan, Duy Phung, et al.2024 · 9 citations
  14. From Logical to Computational Sparsity: Structure-Aware Block-Sparse Attention for Long-Code CompletionAnnual Meeting of the Association for Computational Linguistics (ACL)Yanli Wang, Yanlin Wang, Bowen Zhang, et al.2026
  15. LEDGER: Scaling Agentic Document Editing with Dependency-aware Graph RetrievalFindings of the Association for Computational LinguisticsHang Wang, Utkarsh Garg, Reza Davari, et al.2026
  16. Review and Performance Comparison of Deep Knowledge Tracing Models (深度知识追踪模型综述和性能比较)Journal of SoftwareYu Wang (王宇), Mengxia Zhu (朱梦霞), Shanghui Yang (杨尚辉), et al.2022

65 more papers of our library cite it; they have no page here yet.

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