Large tree structures are ubiquitous and real-world relational datasets ...
Graph neural networks are useful for learning problems, as well as for
c...
A sparsification of a given graph G is a sparser graph (typically a
subg...
Bipartite graphs model the relationships between two disjoint sets of
en...
Bipartite graphs model the relationship between two disjoint sets of obj...
Readability criteria, such as distance or neighborhood preservation, are...
Graph neural networks have been successful in many learning problems and...
Evolving trees arise in many real-life scenarios from computer file syst...
An additive +β spanner of a graph G is a subgraph which
preserves distan...
Given a graph G = (V,E), a subgraph H is an additive +β
spanner if _H(u,...
Readability criteria, such as distance or neighborhood preservation, are...
We study the multi-level Steiner tree problem: a generalization of the
S...
An α-additive spanner of an undirected graph G=(V, E) is a subgraph
H su...
This tutorial review provides a guiding reference to researchers who wan...
Stress, edge crossings, and crossing angles play an important role in th...
Given an undirected weighted graph $G(V,E)$, a subsetwise sparsifier ove...
Given a weighted graph G(V,E) and t > 1, a subgraph H is a
t--spanner of...
In the classical Steiner tree problem, one is given an undirected, conne...