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IEEE Transactions on Knowledge and Data Engineering, ISSN 1041-4347, 6/2019, pp. 1 - 1
Data in the form of graphs are prevalent, ranging from biological and social networks to citation graphs and the Web. In particular, most real-world graphs are... 
Graph Mining | Semantic Proximity Search | Meta-structures | Heterogeneous Graph Representation
Journal Article
IEEE Transactions on Circuits and Systems I: Regular Papers, ISSN 1549-8328, 01/2013, Volume 60, Issue 1, pp. 199 - 210
Journal Article
Information Processing Letters, ISSN 0020-0190, 11/2015, Volume 115, Issue 11, pp. 877 - 881
•We prove that the 10-Gabriel graph of any set of points is Hamiltonian.•We discuss a possible way to further improve upon the previous result.•We show that... 
Computational geometry | Gabriel graphs | Hamiltonian cycles | Proximity graphs | DELAUNAY GRAPHS | RELATIVE NEIGHBORHOOD GRAPHS | COMPUTER SCIENCE, INFORMATION SYSTEMS | POINTS
Journal Article
ACM Transactions on Knowledge Discovery from Data (TKDD), ISSN 1556-4681, 02/2011, Volume 5, Issue 2, pp. 1 - 33
Social networks, sensor networks, biological networks, and many other information networks can be modeled as a large graph. Graph vertices represent entities,... 
Graph clustering | attribute similarity | structural proximity | Structural proximity | Attribute similarity | COMPUTER SCIENCE, SOFTWARE ENGINEERING | COMPUTER SCIENCE, INFORMATION SYSTEMS
Journal Article
Computational Geometry: Theory and Applications, ISSN 0925-7721, 2011, Volume 44, Issue 6, pp. 329 - 344
Proximity graphs are used in several areas in which a neighborliness relationship for input data sets is a useful tool in their analysis, and have also... 
Graph drawing | Delaunay graph | Witness graphs | Proximity graphs | MATHEMATICS, APPLIED | POLYHEDRA | THEOREM | PROOF | MATHEMATICS | TREES | INTERSECTION | SETS | REALIZABILITY | TRIANGULATIONS | ARRANGEMENTS | Computer science | Analysis | Drawing | Proximity | Communities | Data sets | Tools | Graphs | Representations | Flexibility
Journal Article
Computational Geometry: Theory and Applications, ISSN 0925-7721, 10/2013, Volume 46, Issue 7, pp. 894 - 908
We consider a generalization of the Gabriel graph, the witness Gabriel graph. Given a set of vertices P and a set of witness points W in the plane, there is an... 
Gabriel graph | Graph drawing | Proximity graph | Witness graph | MATHEMATICS | MATHEMATICS, APPLIED | Computer science | Drawing | Computational geometry | Proximity | Planes | Tools | Disks | Graphs
Journal Article
Pattern Recognition, ISSN 0031-3203, 12/2019, Volume 96, p. 106948
•We propose a cut-edge algorithm for spatial clustering (CutESC) based on proximity graphs. The CutESC algorithm removes edges when a dynamically calculated... 
Spatial data mining | Graph theory | Clustering | Proximity graphs | ALGORITHM | ASSOCIATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
Information Processing Letters, ISSN 0020-0190, 10/2014, Volume 114, Issue 10, pp. 519 - 523
This paper describes one variation on witness proximity graphs called mutual witness proximity graphs. Two witness proximity graphs are said to be mutual when,... 
Delaunay graphs | Rectangle of influence graphs | Computational geometry | Gabriel graphs | Witness graphs | Proximity graphs | COMPUTER SCIENCE, INFORMATION SYSTEMS | Computer science | Data processing | Graphs | Proximity | Rectangles | Circularity | Unions
Journal Article
2014 IEEE Conference on Computer Vision and Pattern Recognition, ISSN 1063-6919, 06/2014, pp. 1450 - 1457
Spectral clustering requires robust and meaningful affinity graphs as input in order to form clusters with desired structures that can well support human... 
Visualization | subtle similarity | random forests | Noise measurement | Videos | Training | Robust affinity graphs | discriminative feature subspaces | Vegetation | Robustness | Data models | weak proximity | spectral clustering | Computer vision | Construction | Similarity | Data structures | Graphs | Affinity | Spectra | Pattern recognition | Clustering
Conference Proceeding
Theoretical Computer Science, ISSN 0304-3975, 01/2020, Volume 803, pp. 48 - 56
The distributed representation of Knowledge graphs (KGs) aims to embed the original KG into a low-dimensional embedding vector space, so as to facilitate the... 
Distributed representation | Subgraph-aware proximity | Knowledge graph | COMPUTER SCIENCE, THEORY & METHODS
Journal Article
Discrete Applied Mathematics, ISSN 0166-218X, 07/2012, Volume 160, Issue 10-11, pp. 1484 - 1500
The walk distances in graphs are defined as the result of appropriate transformations of the ∑k=0∞(tA)k proximity measures, where A is the weighted adjacency... 
Walk distances | Resistance distance | Graph distances | Logarithmic forest distances | Network | Transitional measure | RESISTIVE-NETWORKS | MATHEMATICS, APPLIED | GENERAL NETWORK INVERSE | THEOREM | RESISTANCE | LAPLACIAN MATRIX | Graphs | Forests | Transformations | Proximity | Mathematical analysis | Shortest-path problems
Journal Article
Discrete Applied Mathematics, ISSN 0166-218X, 05/2017, Volume 222, p. 31
The proximity π of a graph G is the minimum average distance from a vertex of G to all others. Similarly, the remoteness of G is the maximum average distance... 
Studies | Geometry | Proximity | Upper bounds | Graphs
Journal Article
Discrete Applied Mathematics, ISSN 0166-218X, 05/2017, Volume 222, pp. 31 - 39
The proximity π of a graph G is the minimum average distance from a vertex of G to all others. Similarly, the remoteness of G is the maximum average distance... 
Proximity | Remoteness | Girth | Extremal graph | MATHEMATICS, APPLIED | DISTANCE | RADIUS | VARIABLE NEIGHBORHOOD SEARCH | EXTREMAL GRAPHS
Journal Article
Journal of the Association for Information Science and Technology, ISSN 2330-1635, 09/2016, Volume 67, Issue 9, pp. 2212 - 2222
A time‐dependent centrality metric for disciplinary coauthorship graphs, the “Nobel number” for a discipline, is introduced. A researcher's Nobel number for a... 
scientometrics | PHOSPHORUS | METABOLISM | INDICATORS | INFORMATION SCIENCE & LIBRARY SCIENCE | COMPUTER SCIENCE, INFORMATION SYSTEMS | SCIENCE | MAP | Time dependence | Graphs | Proximity | Indication | Flats | Plotting
Journal Article
Networks, ISSN 0028-3045, 01/2013, Volume 61, Issue 1, pp. 29 - 39
Given a weighted graph G = (V,E) and a subset U of V, we define several graphs with vertex set U in which two vertices are adjacent if they satisfy a specific... 
proximity graphs | Voronoi diagrams | neighborhood | weighted graphs | COMPUTER SCIENCE, HARDWARE & ARCHITECTURE | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | VORONOI DIAGRAM | SPANNING TREE ALGORITHM | Algorithms
Journal Article
Graphs and Combinatorics, ISSN 0911-0119, 7/2014, Volume 30, Issue 4, pp. 827 - 846
In a witness rectangle graph (WRG) on vertex point set P with respect to witness point set W in the plane, two points x, y in P are adjacent whenever the open... 
Rectangle of influence graph | Witness graphs | Mathematics | Engineering Design | Combinatorics | Proximity graphs | INFLUENCE DRAWINGS | MATHEMATICS | SMALL-DIAMETER | PLANE | Computer science | Algorithms | Graphs | Trees | Proximity | Planes | Rectangles | Graph theory | Corners | Combinatorial analysis | Grafs, Teoria de | Matemàtiques i estadística | Matemàtica discreta | Àrees temàtiques de la UPC
Journal Article
ACM Transactions on Database Systems (TODS), ISSN 0362-5915, 06/2016, Volume 41, Issue 2, pp. 1 - 43
Given a large graph, how can we calculate the relevance between nodes fast and accurately? Random walk with restart (RWR) provides a good measure for this... 
Proximity | random walk with restart | relevance score | ranking in graph | Design | COMPUTER SCIENCE, SOFTWARE ENGINEERING | Algorithms | PAGERANK | COMPUTER SCIENCE, INFORMATION SYSTEMS | Experimentation | Database administration | Research | Engineering research | Data mining | Methods
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