mlsanityData to 13 Oct 2026

Structured Neural Summarization

arXiv 1811.01824 ↗First posted 5 Nov 2018cs.LG cs.CL cs.SEcited by 54

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Abstract (arXiv)

Summarization of long sequences into a concise statement is a core problem in natural language processing, requiring non-trivial understanding of the input. Based on the promising results of graph neural networks on highly structured data, we develop a framework to extend existing sequence encoders with a graph component that can reason about long-distance relationships in weakly structured data such as text. In an extensive evaluation, we show that the resulting hybrid sequence-graph models outperform both pure sequence models as well as pure graph models on a range of summarization tasks.

Key facts. Cited by 54 papers in the map (data through 13 Oct 2026). First posted on arXiv 5 Nov 2018.

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Citing papers per year: 2020: 1; 2021: 20; 2022: 15; 2023: 12; 2024: 3; 2025: 3.

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  1. 2021CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generationcited by 743
  2. 2020Retrieval-Augmented Generation for Code Summarization via Hybrid GNNcited by 89
  3. 2021Language-Agnostic Representation Learning of Source Code from Structure and Contextcited by 63
  4. 2023Stealthy Backdoor Attack for Code Modelscited by 49
  5. 2021On the Evaluation of Neural Code Summarizationcited by 48
  6. 2021Structure-Aware Abstractive Conversation Summarization via Discourse and Action Graphscited by 36
  7. 2021Reconstructive Sequence-Graph Network for Video Summarizationcited by 34
  8. 2021Code Structure Guided Transformer for Source Code Summarizationcited by 30
  9. 2023Deep Learning for Code Intelligence: Survey, Benchmark and Toolkitcited by 22
  10. 2021BASS: Boosting Abstractive Summarization with Unified Semantic Graphcited by 21
  11. 2021VELVET: a noVel Ensemble Learning approach to automatically locate VulnErable sTatementscited by 20
  12. 2021Improving Code Summarization with Block-wise Abstract Syntax Tree Splittingcited by 19
38 more
  1. 2022An Extractive-and-Abstractive Framework for Source Code Summarizationcited by 18
  2. 2021GraphSearchNet: Enhancing GNNs via Capturing Global Dependencies for Semantic Code Searchcited by 15
  3. 2023Gaussian Processes on Cellular Complexescited by 15
  4. 2021Enhancing Scientific Papers Summarization with Citation Graphcited by 14
  5. 2022HEAT: Hyperedge Attention Networkscited by 13
  6. 2021Impact of Evaluation Methodologies on Code Summarizationcited by 11
  7. 2022Leveraging Locality in Abstractive Text Summarizationcited by 9
  8. 2022HierarchyNet: Learning to Summarize Source Code with Heterogeneous Representationscited by 9
  9. 2023Exploiting Code Symmetries for Learning Program Semanticscited by 9
  10. 2024RACONTEUR: A Knowledgeable, Insightful, and Portable LLM-Powered Shell Command Explainercited by 9
  11. 2022Learning Program Semantics with Code Representations: An Empirical Studycited by 6
  12. 2022MetaTPTrans: A Meta Learning Approach for Multilingual Code Representation Learningcited by 6
  13. 2022Learning Program Representations with a Tree-Structured Transformercited by 6
  14. 2024Generative Subgraph Retrieval for Knowledge Graph-Grounded Dialog Generationcited by 6
  15. 2021Learning to Generate Code Comments from Class Hierarchiescited by 5
  16. 2021XFL: Naming Functions in Binaries with Extreme Multi-label Learningcited by 5
  17. 2021Learning to Describe Solutions for Bug Reports Based on Developer Discussionscited by 5
  18. 2022TEP-GNN: Accurate Execution Time Prediction of Functional Tests using Graph Neural Networkscited by 5
  19. 2021PSIMiner: A Tool for Mining Rich Abstract Syntax Trees from Codecited by 4
  20. 2022Graph Neural Networks for Multiparallel Word Alignmentcited by 4
  21. 2022A Survey of Deep Learning Models for Structural Code Understandingcited by 4
  22. 2022Descartes: Generating Short Descriptions of Wikipedia Articlescited by 4
  23. 2022Evaluation of Contrastive Learning with Various Code Representations for Code Clone Detectioncited by 3
  24. 2022Assessing Project-Level Fine-Tuning of ML4SE Modelscited by 2
  25. 2023APIContext2Com: Code Comment Generation by Incorporating Pre-Defined API Documentationcited by 2
  26. 2023Surveying the Landscape of Text Summarization with Deep Learning: A Comprehensive Reviewcited by 2
  27. 2024Genetic Auto-prompt Learning for Pre-trained Code Intelligence Language Modelscited by 2
  28. 2021WheaCha: A Method for Explaining the Predictions of Models of Codecited by 1
  29. 2021Dependency Structure for News Document Summarizationcited by 1
  30. 2021Energy-bounded Learning for Robust Models of Codecited by 1
  31. 2022Evaluating the Impact of Source Code Parsers on ML4SE Modelscited by 1
  32. 2023An entity-guided text summarization framework with relational heterogeneous graph neural networkcited by 1
  33. 2023Implant Global and Local Hierarchy Information to Sequence based Code Representation Modelscited by 1
  34. 2025Bringing Structure to Naturalness: On the Naturalness of ASTscited by 1
  35. 2025Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networkscited by 1
  36. 2021Augmented Abstractive Summarization With Document-LevelSemantic Graphcited by 0
  37. 2022Compositionality-Aware Graph2Seq Learningcited by 0
  38. 2023Serenity: Library Based Python Code Analysis for Code Completion and Automated Machine Learningcited by 0

50 most cited of 54 All 54 (JSON)