| Links' Seminars and Public Events |   |
| 2019 | |
|---|---|
Fri 12th Apr 11:00 am 12:30 pm | Alexandre Vigny in Links Seminar |
Fri 5th Apr 11:00 am 12:00 pm | Semyon Grigorev in Links' seminar |
Fri 5th Apr 11:00 am 12:30 pm | Talk of Semyon Grigorev Title: Parsing techniques for context-free path querying Abstract: Context-free path querying (CFPQ) is a case of language constrained path querying: the way to specify constraints on paths in a graph in terms of formal languages. In CFPQ language is restricted to be a context-free. Classical parsing techniques and algorithms, such as generalized LR and LL parsing, or parser combinators, can be used for CFPQ. Results of adaptation of different parsing techniques for CFPQ will be presented.  B31 |
Fri 22nd Mar 10:00 am 11:30 am | Seminar LINKS by Aurelien Lemay "Tutorial: Grammatical Inference" |
Fri 8th Mar 11:00 am 12:00 pm | Seminar Momar Title: Regular Matching and Inclusion on Compressed Tree Patterns with Context Variables
Abstract: We study the complexity of regular matching and inclusion for compressed tree patterns extended by context variables. The addition of context variables to tree patterns permits us to properly capture compressed string patterns but also compressed patterns for unranked trees with tree and hedge variables. Regular inclusion for the latter is relevant to certain query answering on Xml streams with references. |
Fri 15th Feb 11:00 am 12:00 pm | Seminar [Florent] |
Wed 13th Feb 1:30 pm 2:30 pm | 30mn de science : Florent Capelli on Knowledge Compilation Inria salle Plénière (Bâtiment A) |
Fri 1st Feb 11:00 am 12:30 pm | Bruno Guillon in Links' seminar Title: Finding paths in large graphs Abstract: When dealing with large graphs, classical algorithms for finding paths such as Dijkstra's Algorithm are unsuitable, because they require to perform too many disk accesses. To avoid this while keeping a data structure of size quasi-linear in the size of the graph, we propose to guide the path search with a distance oracle, obtained from a topological embedding of the graph. I will present fresh experimental research on this topic, in which we obtain graph embeddings using learning algorithms from natural language processing. On some graphs, such as the graph of publications from DBLP, our topologically-guided path search allows us to visit a small portion of the graph only, in average. This is joint work with Charles Paperman. B21 Room |
