Genetic Approximate Matching of Attributed Relational Graphs
author:
Thomas Baerecke,
Laboratoire d’Informatique de Paris 6
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| Slides | |
| 0:00 | Genetic Approximate Matching of Attributed Relational Graphs |
| 1:08 | Motivation 1/2 |
| 2:11 | Motivation 2/2 |
| 3:03 | Motivation 1/2 |
| 3:20 | Motivation 2/2 |
| 3:50 | Outline |
| 4:28 | EC (Sub-)Graph Isomorphism |
| 6:44 | GA - Encoding |
| 9:11 | GA - Crossover |
| 10:41 | Strict position-based crossover |
| 11:57 | GA – Local Search |
| 13:29 | GA – other parameters |
| 14:44 | Combining GA with A* |
| 16:37 | Outline |
| 17:18 | Evolution Process |
| 18:48 | Diversity |
| 19:46 | Precision – Crossover 1/2 |
| 20:48 | Precision – Crossover 2/2 |
| 21:18 | Results - Runtime |
| 22:33 | Combined results |
| 24:44 | Conclusions |
| 27:13 | Future Work |
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