We present the first streaming algorithm for counting an arbitrary hypergraph $H$ of constant size in a massive hypergraph $G$. Our algorithm can handle both edge-insertions and edge-deletions, and is applicable for the distributed setting. Moreover, our approach provides the first family of graph polynomials for the hypergraph counting problem. Because of the close relationship between hypergraphs and set systems, our approach may have applications in studying similar problems
In this paper we present improved results on the problem of counting triangles in edge streamed grap...
International audienceWe introduce a novel algorithm to perform graph clustering in the edge streami...
International audienceWe introduce a novel algorithm to perform graph clustering in the edge streami...
Abstract. We study the subgraph counting problem in data streams. We provide the first non-trivial e...
Subgraph counting is a fundamental primitive in graph processing, with applications in social networ...
In this thesis, we explore the problem of approximating the number of elementary substructures calle...
International audienceWe introduce a novel algorithm to perform graph clustering in the edge streami...
International audienceWe introduce a novel algorithm to perform graph clustering in the edge streami...
We revisit the much-studied problem of space-efficiently estimating the number of triangles in a gra...
This paper presents a new space-efficient algorithm for counting and sampling triangles--and more ge...
Estimating the number of triangles in a graph given as a stream of edges is a fundamental problem in...
We consider the estimation of properties on massive bipartite graph streams, where each edge represe...
Graphs have become an abstraction of choice in modeling highly-structured data. The need to compute ...
International audienceMany well-known, real-world problems involve dynamic, interrelated data items....
In this paper we present improved results on the problem of counting triangles in edge streamed grap...
In this paper we present improved results on the problem of counting triangles in edge streamed grap...
International audienceWe introduce a novel algorithm to perform graph clustering in the edge streami...
International audienceWe introduce a novel algorithm to perform graph clustering in the edge streami...
Abstract. We study the subgraph counting problem in data streams. We provide the first non-trivial e...
Subgraph counting is a fundamental primitive in graph processing, with applications in social networ...
In this thesis, we explore the problem of approximating the number of elementary substructures calle...
International audienceWe introduce a novel algorithm to perform graph clustering in the edge streami...
International audienceWe introduce a novel algorithm to perform graph clustering in the edge streami...
We revisit the much-studied problem of space-efficiently estimating the number of triangles in a gra...
This paper presents a new space-efficient algorithm for counting and sampling triangles--and more ge...
Estimating the number of triangles in a graph given as a stream of edges is a fundamental problem in...
We consider the estimation of properties on massive bipartite graph streams, where each edge represe...
Graphs have become an abstraction of choice in modeling highly-structured data. The need to compute ...
International audienceMany well-known, real-world problems involve dynamic, interrelated data items....
In this paper we present improved results on the problem of counting triangles in edge streamed grap...
In this paper we present improved results on the problem of counting triangles in edge streamed grap...
International audienceWe introduce a novel algorithm to perform graph clustering in the edge streami...
International audienceWe introduce a novel algorithm to perform graph clustering in the edge streami...