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Graphs, consisting of vertices and edges, are vital for representing complex relationships in fields like social networks, finance, and blockchain. Visualizing these graphs helps analysts identify structural patterns, with readability…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-11-18 Sanggeon Yun

In many applications, it is necessary to retrieve pairs of vertices with the path between them satisfying certain constraints, since regular expression is a powerful tool to describe patterns of a sequence. To meet such requirements, in…

Databases · Computer Science 2019-04-29 Hongzhi Wang , Jiabao Han , Bin Shao , Jianzhong Li

Designing query languages for graph structured data is an active field of research. Evaluating a query on a graph results in a relation on the set of its nodes. In other words, a query is a mechanism for defining relations on a graph. Some…

Databases · Computer Science 2015-04-28 M. Praveen , B. Srivathsan

Despite significant progress in intelligent fault diagnosis (IFD), the lack of interpretability remains a critical barrier to practical industrial applications, driving the growth of interpretability research in IFD. Post-hoc…

Machine Learning · Computer Science 2025-04-08 Qian Chen , Xingjian Dong , Zhike Peng , Guang Meng

Projections, or dimensionality reduction methods, are techniques of choice for the visual exploration of high-dimensional data. Many such techniques exist, each one of them having a distinct visual signature - i.e., a recognizable way to…

Human-Computer Interaction · Computer Science 2026-02-25 Alister Machado , Alexandru Telea , Michael Behrisch

The property graph is an increasingly popular data model. Pattern construction and pattern matching are important tasks when dealing with property graphs. Given a property graph schema S, a property graph G, and a query pattern P, all…

Databases · Computer Science 2021-01-19 Lior Kogan

Generating explanations for graph neural networks (GNNs) has been studied to understand their behavior in analytical tasks such as graph classification. Existing approaches aim to understand the overall results of GNNs rather than providing…

Machine Learning · Computer Science 2024-01-10 Tingyang Chen , Dazhuo Qiu , Yinghui Wu , Arijit Khan , Xiangyu Ke , Yunjun Gao

Optimizing Neural networks is a difficult task which is still not well understood. On the other hand, fixed representation methods such as kernels and random features have provable optimization guarantees but inferior performance due to…

Machine Learning · Computer Science 2024-01-17 Amit Daniely , Mariano Schain , Gilad Yehudai

Schaefer's theorem is a complexity classification result for so-called Boolean constraint satisfaction problems: it states that every Boolean constraint satisfaction problem is either contained in one out of six classes and can be solved in…

Computational Complexity · Computer Science 2015-05-19 Manuel Bodirsky , Michael Pinsker

SPARQL CONSTRUCT queries allow for the specification of data processing pipelines that transform given input graphs into new output graphs. It is now common to constrain graphs through SHACL shapes allowing users to understand which data…

Databases · Computer Science 2024-05-22 Philipp Seifer , Daniel Hernández , Ralf Lämmel , Steffen Staab

SPARQL is the standard query language for RDF graphs. In its strict instantiation, it only offers querying according to the RDF semantics and would thus ignore the semantics of data expressed with respect to (RDF) schemas or (OWL)…

Databases · Computer Science 2013-11-18 Faisal Alkhateeb , Jérôme Euzenat

Relational databases (RDBs) are widely regarded as the gold standard for storing structured information. Consequently, predictive tasks leveraging this data format hold significant application promise. Recently, Relational Deep Learning…

Machine Learning · Computer Science 2025-12-15 Jakub Peleška , Gustav Šír

Many systems can be described in terms of networks of discrete elements and their various relationships to one another. A semantic network, or multi-relational network, is a directed labeled graph consisting of a heterogeneous set of…

Artificial Intelligence · Computer Science 2008-11-03 Marko A. Rodriguez , Jennifer H. Watkins , Johan Bollen , Carlos Gershenson

Traditionally, graph algorithms get a single graph as input, and then they should decide if this graph satisfies a certain property $\Phi$. What happens if this question is modified in a way that we get a possibly infinite family of graphs…

Formal Languages and Automata Theory · Computer Science 2021-10-13 Volker Diekert , Henning Fernau , Petra Wolf

I introduce a formalism for representing the syntax of recursively structured graph-like patterns. It does not use production rules, like a conventional graph grammar, but represents the syntactic structure in a more direct and declarative…

Formal Languages and Automata Theory · Computer Science 2025-04-25 Peter Fletcher

CPEG is an extended parsing expression grammar with regex-like capture annotation. Two annotations (capture and left-folding) allow a flexible construction of syntax trees from arbitrary parsing patterns. More importantly, CPEG is designed…

Programming Languages · Computer Science 2018-12-19 Daisuke Yamaguchi , Kimio Kuramitsu

Ontologies and automated reasoning are the building blocks of the Semantic Web initiative. Derivation rules can be included in an ontology to define derived concepts, based on base concepts. For example, rules allow to define the extension…

Artificial Intelligence · Computer Science 2011-11-02 Anastasia Analyti , Grigoris Antoniou , Carlos Viegas Damásio , Gerd Wagner

Solving partial differential equations (PDEs) with highly oscillatory solutions on complex domains remains a challenging and important problem. High-frequency oscillations and intricate geometries often result in prohibitively expensive…

Numerical Analysis · Mathematics 2025-10-28 Gareth Hardwick , Haizhao Yang

Graphs and graph transformation systems are a frequently used modelling technique for a wide range of different domains, cover- ing areas as diverse as refactorings, network topologies or reconfigurable software. Being a formal method,…

Programming Languages · Computer Science 2015-03-17 Dominik Steenken , Heike Wehrheim , Daniel Wonisch

Architecture styles characterise families of architectures sharing common characteristics. We have recently proposed configuration logics for architecture style specification. In this paper, we study a graphical notation to enhance…

Software Engineering · Computer Science 2016-08-12 Anastasia Mavridou , Eduard Baranov , Simon Bliudze , Joseph Sifakis