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Graph modeling
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In this study, we explore the potential of graph neural networks (GNNs), in combination with transfer learning, for the prediction of molecular solubility, a crucial property in drug discovery and materials science. Our approach begins with the development of a GNN-based model to predict the dipole moment of molecules.
8p
viwalton
02-07-2024
3
1
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Part 1 of ebook "Statistics and analysis of shapes" provides readers with contents including: medial axis computation and evolution; shape variation of medial axis representations via principal geodesic analysis on symmetric spaces; 2D shape modeling using skeletal graphs in a morse theoretic framework; matching with shape contexts;...
175p
mothoiphong
28-06-2024
2
1
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In this paper, we present VFFinder, a novel graph-based approach for automated silent vulnerability fix identification. To precisely capture the meaning of code changes, the changed code is represented in connection with the related unchanged code.
13p
viambani
18-06-2024
3
1
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Ebook Hybrid systems, optimal control and hybrid vehicles - Theory, methods and applications: Part 2
Part 2 book "Hybrid systems, optimal control and hybrid vehicles - Theory, methods and applications" includes content: Direct methods for optimal control, practical implementation aspects of large scale optimal control solvers, modeling hybrid vehicles as switched systems, advanced vehicle calibration, predictive real time energy management, optimal design of hybrid powertrain configurations, graph theoretical fundamentals for sparse matrices.
292p
dianmotminh03
11-06-2024
1
1
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This book is for people who want to get acquainted with the concepts of basic trigonometry without taking a formal course. It can serve as a supple- mental text in a classroom, tutored, or home-schooling environment. It should also be useful for career changers who need to refresh their knowledge of the subject. This is not a rigorous course in theoretical trigonometry. Such a course defines postulates (or axioms) and provides deductive proofs of statements called theorems by applying mathematical logic. Proofs are generally omitted in this book for the sake of simplicity and clarity.
322p
zizaybay1103
29-05-2024
3
1
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Part 2 book "Computer-Aided graphing and simulation tools for AutoCAD users" includes contents: Design and analysis of disk cam mechanisms, spur gear simulation using working model 2D and AutoLISP, more practical problems and applications.
331p
dianmotminh01
14-05-2024
0
0
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This paper introduces a novel framework, July, which serves the dual purpose of detecting vulnerable commits and localizing the root causes of the vulnerabilities. The fundamental concept of July is that the determinant of the vulnerability of a commit is the inherent meaning embedded in its changed code. For just-in-time vulnerability detection (JIT-VD), July represents each commit by a Code Transformation Graph and employs a Graph Neural Network model to capture their meanings and distinguish between vulnerable and non-vulnerable commits.
23p
dianmotminh02
03-05-2024
3
1
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Bài giảng "Lưu trữ và xử lý dữ liệu lớn: Chương 4 - Cơ sở dữ liệu phi quan hệ NoSQL (Phần 1)" trình bày các nội dung chính sau đây: Kỷ nguyên của cơ sở dữ liệu, trường hợp sử dụng NoSQL, mô hình dữ liệu quan hệ, kho lưu trữ cơ sở dữ liệu đồ thị;... Mời các bạn cùng tham khảo!
43p
gaupanda025
09-04-2024
3
2
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The last two human genome assemblies have extended the previous linear golden-path paradigm of the human genome to a graph-like model to better represent regions with a high degree of structural variability. The new model offers opportunities to improve the technical validity of variant calling in whole-genome sequencing (WGS).
15p
vioraclene
31-03-2024
5
2
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Contemporary deep learning approaches show cutting-edge performance in a variety of complex prediction tasks. Nonetheless, the application of deep learning in healthcare remains limited since deep learning methods are often considered as non-interpretable black-box models.
16p
vibransone
28-03-2024
4
2
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Ebook "Computational biology: Issues and applications in oncology" provides a comprehensive report on recent techniques and results in computational oncology essential to the knowledge of scientists, engineers, as well as postgraduate students working on the areas of computational biology, bioinformatics, and medical informatics. With chapters timely prepared and written by experts in the field, this in-depth and up-to-date volume covers advanced statistical methods, heuristic algorithms, cluster analysis, data modeling, image and pattern analysis applied to cancer research.
309p
cotieubac1004
15-03-2024
4
0
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Part 1 book "Applied chemistry and chemical engineering (Vol 1: Mathematical and analytical techniques)" includes content: Digraphs, graphs, and thermodynamics equations; usefulness and limits of predictive relationships; computational model for byproduct of wastewater treatment; complex calculation of a critical path of motion of a corpuscle taking into account a regime and design of the apparatus; the modern approach to modeling and calculation of efficiency of process of a gas cleaning;... and other contents.
157p
muasambanhan08
01-03-2024
2
1
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Ebook Control theory and systems biology: Part 1 includes content: A primer on control engineering, modeling and analysis of stochastic biochemical networks, spatial modeling, quantifying properties of cell signaling cascades, graph s and the dynamics of biochemical networks,... and other contents.
157p
longtimenosee03
01-02-2024
2
0
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Part 2 book "Discrete mathematics and its applications" includes content: Advanced counting techniques, relations, graphs, trees, boolean algebra, modeling computation, suggested readings, answers to odd numbered exercises.
550p
muasambanhan06
01-02-2024
5
1
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Part 2 book "Discrete mathematics" includes content: Recurrence relations; graph theory; trees; network models; boolean algebras and combinatorial circuits; automata, grammars, and languages.
426p
muasambanhan05
16-01-2024
5
0
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Part 2 book "Discrete mathematics and its applications" includes content: Graphs, trees, boolean algebra, modeling computation, axioms for the real numbers and the positive integers; exponential and logarithmic functions; pseudocode.
478p
muasambanhan05
16-01-2024
0
0
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Ebook "Link mining: Models, algorithms, and applications" has become an emerging field of data mining, which has a high impact in various important applications such as text mining, social network analysis, collaborative filtering, and bioinformatics. This will be the first book on the market focusing on the theory and techniques as well as the related applications for link mining.
580p
tachieuhoa
28-01-2024
9
2
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This paper studies the consensus problem in which agents interact via a matrix-weighted graph. The problem is considered with different assumptions on the agent's dynamical model (single-, double integrator) with uncertainty and on the interaction such as leaderless and leader-follower topologies.
9p
vibranson
30-11-2023
6
4
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This paper focuses on an exact algorithm for solving NP-hard combinatorial optimization problems which frequently requires significant specialized knowledge and trial and error, especially, Mixed Integer Linear Programs (MILP). This challenging, tedious process can be automated by learning the algorithms instead.
6p
visystrom
22-11-2023
5
4
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Ebook "Effectiveness of university education in Italy: Employability, competences, human capital" present a set of papers on the effectiveness of university education, then another on employability of graduates with a discussion on the opportunity to consider job quality, rather than the employment rate, as the main assessment indicator, and finally a set of papers on competence analysis for external assessment purposes.
376p
loivantrinh
29-10-2023
7
2
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