… We estimate the similarity between two embedding clusters via Jaccard distance. If vi and vj
are … MODA: an efficient algorithm for network motif discovery in biological networks. Genes & …

… by minimizing the distance or … based subgraph matching methods that is to force two different
objects to output the same representation vectors through one vanilla shared graph network…

… subgraph matching algorithm based on above star decomposition. According to the query
order of the star subgraphs… Moreover, GADDI has to calculate the adjacency distance between …

… of the matching results can be kept within a certain range … graph matching algorithm that
converts the graph matching … problem, trading matching accuracy for matching efficiency. …

… In this paper, we proposed CNI-Match, a simple subgraph isomorphism search algorithm
that relies on a compact representation of the neighbourhood, called Compact Neighbourhood …

… Though this injective mapping is not technically an isomorphism, it becomes one when you
restrict the range to the signal nodes and edges, and it is in this sense that we refer to it as an …

… on exact subgraph isomorphism … subgraph isomorphism algorithms can be partitioned
into three paradigms, respectively based on Tree Search, Constraint Programming and Graph …

… the existing problems of biological network alignment. … because the subgraph isomorphism
problem is still NP-hard. … nodes that have the smallest distance between their graphlet vectors…

… Gaddi: distance index based subgraph matching in biological networks. In Proceedings of
the 12th International Conference on Extending Database Technology: Advances in Database …

… indexing technique is first used in a filtering stage to obtain result candidates and a subgraph
isomorphism … It is noticed that the above definition of distance between bitmaps is based on …