Search Results - graph‐based programming abstraction

GraphWare: A graph‐based middleware enabling multi‐robot cooperation by Chen, Jinlin, Cao, Jiannong, Liang, Zhixuan, Cheng, Zhiqin, Wang, Jia

“… In this article, we propose GraphWare, a novel middleware that provides a graph‐based programming ion and its underlying runtime kernel for programming and building multi…”
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A graph-based modeling abstraction for optimization: concepts and implementation in Plasmo.jl by Jalving, Jordan, Shin, Sungho, Zavala, Victor M.

“…We present a general graph-based modeling abstraction for optimization that we call an OptiGraph…”
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An Efficient Approach for Graph-Based Fault Diagnosis in UAVs by Zogopoulos-Papaliakos, Georgios, Kyriakopoulos, Kostas J.

“…). Intended for detailed, large and non-linear system models, Structural Analysis (SA) is applied to produce a graph-based abstraction of the problem in the form of a bipartite graph…”
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A graph-based code representation method to improve code readability classification by Mi, Qing, Zhan, Yi, Weng, Han, Bao, Qinghang, Cui, Longjie, Ma, Wei

“… To extract these features, we propose a graph-based code representation method. Method Firstly, the source code is parsed into a graph containing its abstract syntax tree (AST…”
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GECOT: Graph‐based ecological connectivity optimization tool by Hamonic, François, Vaxès, Yann, Couëtoux, Basile, Albert, Cécile H.

“… Systematic conservation planning (SCP) has advanced to include landscape connectivity, often using graph…”
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kGCN: a graph-based deep learning framework for chemical structures by Kojima, Ryosuke, Ishida, Shoichi, Ohta, Masateru, Iwata, Hiroaki, Honma, Teruki, Okuno, Yasushi

“… of GCN and programming. To leverage the power of GCN to benefit various users from chemists to cheminformaticians, an open-source GCN tool, kGCN, is introduced…”
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Learning graph-based heuristics for pointer analysis without handcrafting application-specific features by Jeon, Minseok, Lee, Myungho, Oh, Hakjoo

“…We present Graphick, a new technique for automatically learning graph-based heuristics for pointer analysis…”
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Bounded Wang tilings with integer programming and graph-based heuristics by Tyburec, Marek, Zeman, Jan

“… version of the tiling problem and offer four integer programming formulations to construct valid or nearly-valid Wang tilings…”
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Bone graphs: Medial shape parsing and abstraction by Macrini, Diego, Dickinson, Sven, Fleet, David, Siddiqi, Kaleem

“… ►The parts and relations are captured in a hierarchical abstraction - the bone graph. ► The bone graph avoids the ligature-based instability of a medial axis…”
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Improving Cross-Language Code Clone Detection via Code Representation Learning and Graph Neural Networks by Mehrotra, Nikita, Sharma, Akash, Jindal, Anmol, Purandare, Rahul

“…Code clone detection is an important aspect of software development and maintenance. The extensive research in this domain has helped reduce the complexity and…”
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Beyond Trees: Calculating Graph-Based Compilers (Functional Pearl) by Bahr, Patrick, Hutton, Graham

“… a higher-order abstract syntax representation of graphs…”
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Graph-Based Statistical Language Model for Code by Anh Tuan Nguyen, Nguyen, Tien N.

“… of syntax and semantics in source code. This paper presents GraLan, a graph-based statistical language model and its application in code suggestion…”
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ACcoding: A graph-based dataset for online judge programming by Chen, Kairui, Huang, Fuqun, Liu, Zejing, Yu, Haomiao, Meng, Liuchang, Mo, Shasha, Zhang, Li, Song, You

“…’ learning patterns in programming. We present a graph-based large-scale dataset specialized in programming learning on Online Judge (OJ) platform…”
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“Simple Tidy GeneCoEx”: A gene co‐expression analysis workflow powered by tidyverse and graph‐based clustering in R by Li, Chenxin, Deans, Natalie C., Buell, C. Robin

“… Here, we present “Simple Tidy GeneCoEx”, a gene co‐expression analysis workflow written in the R programming language…”
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A robust graph-based approach to observational equivalence by Ghica, Dan R., Muroya, Koko, Ambridge, Todd Waugh

“…We propose a new step-wise approach to proving observational equivalence, and in particular reasoning about fragility of observational equivalence. Our…”
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A Correlation Graph Based Approach for Personalized and Compatible Web APIs Recommendation in Mobile APP Development by Qi, Lianyong, Lin, Wenmin, Zhang, Xuyun, Dou, Wanchun, Xu, Xiaolong, Chen, Jinjun

“…Using Web APIs registered in service sharing communities for mobile APP development can not only reduce development period and cost, but also fully reuse…”
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Geometry-Consistent Light Field Super-Resolution via Graph-Based Regularization by Rossi, Mattia, Frossard, Pascal

“…Light field cameras capture the 3D information in a scene with a single exposure. This special feature makes light field cameras very appealing for a variety…”
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Dynamic graph-based quantum feature selection for accurate fetal plane classification in ultrasound imaging by Priyadharshni, S., Ravi, V.

“… To enhance the diagnostic efficiency, the research proposed a novel method called “Dynamic Graph-Based Quantum Feature Selection” (DG-QFS…”
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HSVDetector: a heterogeneous semantic graph-based method for smart contract vulnerability detection: HSVDetector: a heterogeneous semantic graph-based method by Zhu, Heming, Li, Hao, Lu, Gehao

“…). We construct a Variable Dependency Graph (VDG) derived from the Abstract Syntax Tree (AST) of smart contracts to capture both data flow and control flow dependencies between variables…”
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RBC-GNN: a novel relation-aware graph-based learning framework for breast cancer classification using graph neural network: RBC-GNN: a novel relation-aware graph-based learning by Shah, Hemali, Agrawal, Smita S, Oza, Parita, Tanwar, Sudeep

“…Breast cancer is the most commonly diagnosed cancer among women globally, and its early detection is essential for effective treatment and improved patient…”
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