Advanced Anomaly Detection in Smart Grids Using Graph Convolutional Networks With Integrated Node and Line Sensor Data by Mahdi Zarif, Ramin Moghaddass

“…This article introduces an innovative method that uses a graph convolutional network (GCN) combined with a modified probability propagation matrix and dual graphs to identify and locate node/line anomalies using network sensors installed on both nodes and lines. …”
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Linear Time Train Contraction Minor Labeling for Railway Line Capacity Analysis by Qinglun Zhong, Ruihua Xu

“…Given a timetable, we use an incidence graph, the so-called train contraction minor, for representing the consecutive train operations and show that a longest path for spanning the compressed timetable is any path in a graph induced by some topological subsequence of trains that connects the predefined vertices in the train contraction minor. …”
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Research on Standardization Scheme of Operation Capacity Calculation for Urban Rail Transit Lines by YU Haipeng, HAO Bin

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A Reinforcement Learning Approach for Graph Rule Learning by Zhenzhen Mai, Wenjun Wang, Xueli Liu, Xiaoyang Feng, Jun Wang, Wenzhi Fu

“…Although some recent neural logic methods are more efficient in learning rules, they are generally restricted to learning chain-like rules with limited expressiveness. Taking the advantage of Reinforcement Learning (RL) in reducing search space, we implement a policy network based RL method for learning graph rules, denoted as GraphRulRL. …”
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Extraction of exact symbolic stationary probability formulas for Markov chains with finite space with application to production lines. Part I: description of methodology by Konstantinos S. Boulas, Georgios D. Dounias, Chrissoleon T. Papadopoulos

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Key determinants in implementation processes: a systematic review using the Consolidated Framework for Implementation Research (CFIR) by Marin Schmitt, Maren Hawkins, Paul Florsheim

“…While a substantial number of determinants have been identified, less research has examined the strength of their impact on the implementation process. …”
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Optimalization Route to Tourism Places in West Java Using A-STAR Algorithm by Muhammad Helambang Prakasa Yudha, Sudrajat Supian, Herlina Napitupulu

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Property Graph vs RDF Triple Store: A Comparison on Glycan Substructure Search. by Davide Alocci, Julien Mariethoz, Oliver Horlacher, Jerven T Bolleman, Matthew P Campbell, Frederique Lisacek

“…The molecular structure of a glycan can be encoded into a direct acyclic graph where each node represents a building block and each edge serves as a chemical linkage between two building blocks. …”
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Satellite Mission Instruction Sequence Generation Algorithm Using a Flexible Weighted Directed Graph by Zhang Yahang, Zhang Jiakai, Yang Mengfei, Yang Peiyao, Song Xiangshuai

“…This algorithm can sort the instruction into sequence according to the instruction execution relationship with constraints, which can promote satellite operation performance of the ground station. Concepts like flexible edge, flexible zone, and implement zone were introduced, and the flexible weighted directed graph (FWDG) model was proposed. …”
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Advancing deformation calculation: a physics-informed deep graph learning framework for hyperelastic materials by Faras Brumand-Poor, Matthias Trautmann, Katharina Schmitz

“…Abstract In elastohydrodynamic lubrication (EHL) simulations, classical numerical methods like the finite difference method (FDM) and the finite element method (FEM) are commonly employed. …”
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Hardware implementation of a configurable and power-efficient current conveyor architecture by Ahmed Reda Mohamed, Muneer A. Al Absi

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Integration of OPC UA Information Models into Enterprise Knowledge Graphs by Arno Weiss, Steffen Ihlenfeldt

“…The developed practice is implemented, applied to combine a server’s structure with an existing knowledge graph containing an Asset Administration Shell and released open source.…”
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Recommendations for reporting regression-based norms and the development of free-access tools to implement them in practice. by Rok Blagus, Bojan Leskošek, Francisco B Ortega, Grant Tomkinson, Gregor Jurak

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Getting NBA Shots in Context: Analysing Basketball Shots with Graph Embeddings by Schmid Marc, Schöpf Moritz, Kolbinger Otto

“…Evaluating the quality of shots in basketball is crucial and requires considering the context in which they are taken. We introduce a graph neural network to process a graph based on player and ball tracking data to compute expected shot quality. …”
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Some More Results on Reciprocal Degree Distance Index and ℱ-Sum Graphs by Asima Razzaque, Saima Noor, Salma Kanwal, Ayesha Manzoor

“…A chemical invariant of graphical structure Z is a unique value characteristic that remains unchanged under graph automorphisms. …”
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Synthesis of ladder diagrams in the control of the transport line of rolling elements by Adam Szcześniak, Zbigniew Szcześniak, Leszek Cedro

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Graph Neural Networks for Aerodynamic Analysis of Truck Platoon Under Heterogeneous Traffic Environment by Tong Liu, Fangyu Liu

“…By representing the platoon and surrounding traffic as a heterogeneous graph, the proposed GNPS model leverages node-level features such as wind configurations and vehicle geometries, alongside edge-level features like inter-vehicle distances. …”
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QUERY2BERT: Combining Knowledge Graph and Language Model for Reasoning on Logical Queries by Truong H. V. Phan, Phuc do

“…Then, embedded nodes were indexed with a K-D tree structure. Finally, we used nearest neighbor search on K-D tree to retrieve neighbor-embedded nodes and implemented logical operations like projection, intersection, union, and negation to find answers to complex questions. …”
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Parallel Simulation Using Reactive Streams: Graph-Based Approach for Dynamic Modeling and Optimization by Oleksii Sirotkin, Arsentii Prymushko, Ivan Puchko, Hryhoriy Kravtsov, Mykola Yaroshynskyi, Volodymyr Artemchuk

“…The resulting computational graph, implemented using reactive streams, offers a scalable framework for parallel computation. …”
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Optimization complexity and resource minimization of emitter-based photonic graph state generation protocols by Evangelia Takou, Edwin Barnes, Sophia E. Economou

“…These patterns allow us to process large graphs and still achieve a reduction of up to 66% in emitter CNOTs, without relying on subtle metrics such as edge density. …”
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