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Towards Learning Generalizable Code Embeddings Using Task-agnostic Graph Convolutional Networks

https://doi.org/10.1145/3542944
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1006/ijhc.2000.0410openalex-snapshot
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Representation Learning for Natural Language Processing
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An empirical study on the maintenance of source code clones
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On using machine learning to automatically classify software applications into domain categories
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A survey on the use of topic models when mining software repositories
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Deep code comment generation with hybrid lexical and syntactical information
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Dropout vs. batch normalization: an empirical study of their impact to deep learning
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MUDABlue: An automatic categorization system for Open Source repositories
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Assessing the Generalizability of Code2vec Token Embeddings
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Linux auditing: Overhead and adaptation
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DeepGCNs: Can GCNs Go As Deep As CNNs?
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On the Equivalence of Information Retrieval Methods for Automated Traceability Link Recovery
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Automatic generation of natural language summaries for Java classes
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On the naturalness of software
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A Novel Neural Source Code Representation Based on Abstract Syntax Tree
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DeepLV: Suggesting Log Levels Using Ordinal Based Neural Networks
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Experiment on the automatic detection of function clones in a software system using metrics
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Late propagation in software clones
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How can i improve my app? Classifying user reviews for software maintenance and evolution
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Towards a Big Data Curated Benchmark of Inter-project Code Clones
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Import2vec: Learning Embeddings for Software Libraries
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Semantic Source Code Models Using Identifier Embeddings
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Learning-Based Recursive Aggregation of Abstract Syntax Trees for Code Clone Detection
inferredcites →https://doi.org/10.1109/saner.2019.8668043openalex-snapshot
Sorting and Transforming Program Repair Ingredients via Deep Learning Code Similarities
inferredcites →https://doi.org/10.1109/tse.2002.1019480openalex-snapshot
CCFinder: a multilinguistic token-based code clone detection system for large scale source code
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Towards automatically generating summary comments for Java methods
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Proceedings of the 36th International Conference on Software Engineering
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Automatic documentation generation via source code summarization of method context
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Automatically learning semantic features for defect prediction
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SourcererCC
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Deep learning code fragments for code clone detection
inferredcites →https://doi.org/10.1145/3192366.3192412openalex-snapshot
A general path-based representation for predicting program properties
inferredcites →https://doi.org/10.1145/3196321.3196334openalex-snapshot
Deep code comment generation
inferredcites →https://doi.org/10.1145/3196398.3196431openalex-snapshot
Deep learning similarities from different representations of source code
inferredcites →https://doi.org/10.1145/3243734.3243738openalex-snapshot
Large-Scale and Language-Oblivious Code Authorship Identification
inferredcites →https://doi.org/10.1145/3276517openalex-snapshot
DeepBugs: a learning approach to name-based bug detection
inferredcites →https://doi.org/10.1145/3290353openalex-snapshot
code2vec: learning distributed representations of code
inferredcites →https://doi.org/10.1145/3387904.3394491openalex-snapshot
On the Equivalence of Information Retrieval Methods for Automated Traceability Link Recovery
inferredcites →https://doi.org/10.1145/3457913.3457937openalex-snapshot
Training Deep Code Comment Generation Models via Data Augmentation
inferredcites →https://doi.org/10.1145/3459637.3482488openalex-snapshot
Understanding and Resolving Performance Degradation in Deep Graph Convolutional Networks
inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot
Long Short-Term Memory
inferredcites →https://doi.org/10.1162/tacl_a_00051openalex-snapshot
Enriching Word Vectors with Subword Information
inferredcites →https://doi.org/10.18653/v1/2020.findings-emnlp.350openalex-snapshot
Towards Context-Aware Code Comment Generation
inferredcites →https://doi.org/10.18653/v1/d15-1036openalex-snapshot
Evaluation methods for unsupervised word embeddings
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Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
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Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling
inferredcites →https://doi.org/10.18653/v1/n16-1openalex-snapshot
Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
inferredcites →https://doi.org/10.18653/v1/n18-1190openalex-snapshot
Factors Influencing the Surprising Instability of Word Embeddings
inferredcites →https://doi.org/10.18653/v1/p17-1149openalex-snapshot
Bridge Text and Knowledge by Learning Multi-Prototype Entity Mention Embedding
inferredcites →https://doi.org/10.18653/v1/p17-4012openalex-snapshot
OpenNMT: Open-Source Toolkit for Neural Machine Translation
inferredcites →https://doi.org/10.18653/v1/p19-1320openalex-snapshot
Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks
inferredcites →https://doi.org/10.24963/ijcai.2017/423openalex-snapshot
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Glove: Global Vectors for Word Representation
inferredcites →https://doi.org/10.3115/v1/d14-1181openalex-snapshot
Convolutional Neural Networks for Sentence Classification
inferredcites →https://doi.org/10.3115/v1/n15-1011openalex-snapshot
Effective Use of Word Order for Text Categorization with Convolutional Neural Networks
inferredcites →https://doi.org/10.3115/v1/p14-2050openalex-snapshot
Dependency-Based Word Embeddings
inferredcites →https://doi.org/10.48550/arxiv.1803.04497openalex-snapshot
Automated software vulnerability detection with machine learning
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The Remarkable Role of Similarity in Redundancy-based Program Repair
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Scikit-learn: Machine Learning in Python

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1109/access.2025.3643796openalex-snapshot
A Topical Review of Graph Embedding in Graph Neural Networks
inferred← citeshttps://doi.org/10.1109/icse-companion58688.2023.00077openalex-snapshot
Towards Utilizing Natural Language Processing Techniques to Assist in Software Engineering Tasks
inferred← citeshttps://doi.org/10.1109/icse48619.2023.00079openalex-snapshot
On the Temporal Relations between Logging and Code
inferred← citeshttps://doi.org/10.1109/icst57152.2023.00018openalex-snapshot
Embedding Context as Code Dependencies for Neural Program Repair
inferred← citeshttps://doi.org/10.1109/smc53992.2023.10394259openalex-snapshot
DF4RT: Deep Forest for Requirements Traceability Recovery Between Use Cases and Source Code
inferred← citeshttps://doi.org/10.1109/tse.2025.3634318openalex-snapshot
ProFuse: Test Case Prioritization Based on Multi Dimensional Feature Fusion for Logic Synthesis Tools Testing Acceleration
inferred← citeshttps://doi.org/10.1145/3624740openalex-snapshot
LoGenText-Plus : Improving Neural Machine Translation Based Logging Texts Generation with Syntactic Templates
inferred← citeshttps://doi.org/10.1145/3643752openalex-snapshot
CodeArt: Better Code Models by Attention Regularization When Symbols Are Lacking
inferred← citeshttps://doi.org/10.1186/s13638-025-02562-wopenalex-snapshot
Channel-aware hierarchical graph network for optimizing sliding window RLNC in challenging wireless environments
inferred← citeshttps://doi.org/10.3390/electronics13040767openalex-snapshot
AI-Assisted Programming Tasks Using Code Embeddings and Transformers
inferred← citeshttps://doi.org/10.3390/make6020050openalex-snapshot
Assessment of Software Vulnerability Contributing Factors by Model-Agnostic Explainable AI
inferred← citeshttps://doi.org/10.4018/ijssci.414455openalex-snapshot
Software Defects Prediction Using Network Embeddings of Call Graphs
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