Graph-TA

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Graph-TA aims at encouraging researchers to present their current work and interact in an informal set up in order to foster collaboration with other colleagues. The workshop provides a forum for presenting and discussing research results and applications in the domain of graphs from different communities, such as: computer science researchers working in the fields of database and management technologies, pattern recognition, graph algorithms, etc.; practitioners using graphs to model their applications; and researchers in mathematics and physical sciences, representing, for instance, the graph theory. Graph-TA is organised by DAMA-UPC at BarcelonaTech

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Graph-TA

Presentations

Langford sequences through a product of labeled digraphs

Graphium Chrysalis: Exploiting Graph Database

Use of graphs for political analysis

Graph Based Word Spotting Approach for Large Document Collections

Managing RDF data with graph databases

Deriving an Emergent Relational Schema from RDF Data

Generating synthetic online social network graph data and topologies

SPIMBENCH: A Scalable, Schema-Aware Instance Matching Benchmark for the Semantic Publishing Domain

Analysing the degree distribution of real graphs by means of several probabilistic models

Recent Updates on IBM System G — GraphBIG and Temporal Data

Finding patterns of chronic disease and medication prescriptions from a large set of electronic health records

Understanding Graph Structure in Knowledge Bases

Autograph: an evolving lightweight graph tool

Graphalytics: A big data benchmark for graph processing platforms

On the Discovery of Novel Drug-Target Interactions from Dense SubGraphs

GRAPHITE — An Extensible Graph Traversal Framework for RDBMS

RDF Graph Data Management in Oracle Database and NoSQL Platforms

Modelling the Clustering Coefficient of a Random graph

Graphalytics: A big data benchmark for graph-processing platforms

Use of Graphs for Cloud Service Selection in Multi-Cloud Environments

Synthetic Data Generation using exponential random Graph modeling

Benchmarking Versioning for Big Linked Data

Polyglot Graph Databases using OCL as pivot

Identifiability in Dynamic Casual Networks

Holistic Benchmarking of Big Linked Data: HOBBIT

The scarcity of crossing dependencies: a direct outcome of a specific constraint?

Reactive Databases for Big Data applications

Using Evolutionary Computing for Feature-driven Graph generation

Computing on Event-sourced Graphs