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Pack and Measure: An Effective Approach for Influence Propagation in Social Networks
The Influence Maximization problem under the Independent Cascade model (IC) is considered.
Graph Minors Meet Machine Learning: the Power of Obstructions
Computational intractability has for decades motivated the development of a plethora of methodologies that mainly aimed at a quality-time trade-off.
Concise Fuzzy Planar Embedding of Graphs: a Dimensionality Reduction Approach
The enormous amount of data to be represented using large graphs exceeds in some cases the resources of a conventional computer.
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