• Édouard Bonnet, Twin-width and ordered binary structures

    Zoom ID: 869 4632 6610 (ibsdimag)

    The twin-width of a graph G can be defined as the least integer d such that there is a sequence of length |V(G)| of (strictly) coarser and coarser partitions of its vertex set V(G), and every part X of every partition P of the sequence has at most d other parts Y of P with

  • Sophie Spirkl, Pure pairs in ordered graphs

    Zoom ID: 869 4632 6610 (ibsdimag)

    A pure pair in a graph G is a pair of subsets A, B of the vertex set of G such that in G, either all of the edges or none of the edges between A and B are present. Pure pairs have been studied recently motivated by their connections to the Erdos-Hajnal conjecture. In

  • Michał Pilipczuk, Structural properties of powers of sparse graphs

    Zoom ID: 869 4632 6610 (ibsdimag)

    For a graph G and an integer d, the dth power of G is the graph $G^d$ on the same vertex set as G where two vertices are considered adjacent if and only if they are at distance at most d in G. Assuming that G is sparse, what can we say about the structure

  • István Tomon, Ramsey properties of semilinear graphs

    Zoom ID: 869 4632 6610 (ibsdimag)

    A graph $G$ is semilinear of bounded complexity if the vertices of $G$ are elements of $\mathbb{R}^{d}$, and the edges of $G$ are defined by the sign patterns of $t$ linear functions, where $d$ and $t$ are constants. In this talk, I will present several results about the symmetric and asymmetric Ramsey properties of semilinear

  • Reinhard Diestel, Tangles of set separations: a novel clustering method and type recognition in machine learning

    Zoom ID: 869 4632 6610 (ibsdimag)

    Traditional clustering identifies groups of objects that share certain qualities. Tangles do the converse: they identify groups of qualities that typically occur together. They can thereby discover, relate, and structure types: of behaviour, political views, texts, or proteins. Tangles offer a new, quantitative, paradigm for grouping phenomena rather than things. They can identify key phenomena

  • Raul Lopes, Adapting the Directed Grid Theorem into an FPT Algorithm

    Zoom ID: 869 4632 6610 (ibsdimag)

    The Grid Theorem of Robertson and Seymour is one of the most important tools in the field of structural graph theory, finding numerous applications in the design of algorithms for undirected graphs. An analogous version of the Grid Theorem in digraphs was conjectured by Johnson et al. , and proved by Kawarabayashi and Kreutzer .

  • Johannes Carmesin, A Whitney type theorem for surfaces: characterising graphs with locally planar embeddings

    Zoom ID: 869 4632 6610 (ibsdimag)

    Given a graph, how do we construct a surface so that the graph embeds in that surface in an optimal way? Thomassen showed that for minimum genus as optimality criterion, this problem would be NP-hard. Instead of minimum genus, here we use local planarity -- and provide a polynomial algorithm. Our embedding method is based

  • Benjamin Bumpus, Directed branch-width: A directed analogue of tree-width

    Zoom ID: 869 4632 6610 (ibsdimag)

    Many problems that are NP-hard in general become tractable on `structurally recursive’ graph classes. For example, consider classes of bounded tree- or clique-width. Since the 1990s, many directed analogues of tree-width have been proposed. However, many natural problems (e.g. directed HamiltonPath and MaxCut) remain intractable on such digraph classes of `bounded width’. In this talk,

  • Dimitrios M. Thilikos, Bounding Obstructions sets: the cases of apices of minor closed classes

    Zoom ID: 869 4632 6610 (ibsdimag)

    Given a minor-closed graph class ${\cal G}$, the (minor) obstruction of ${\cal G}$ is the set of all minor-minimal graphs not in ${\cal G}$. Given a non-negative integer $k$, we define the $k$-apex of ${\cal A}$ as the class containing every graph $G$ with a set $S$ of vertices whose removal from $G$ gives a graph

  • Adam Zsolt Wagner, Constructions in combinatorics via neural networks

    Zoom ID: 869 4632 6610 (ibsdimag)

    Recently, significant progress has been made in the area of machine learning algorithms, and they have quickly become some of the most exciting tools in a scientist’s toolbox. In particular, recent advances in the field of reinforcement learning have led computers to reach superhuman level play in Atari games and Go, purely through self-play. In