248 citations · 332 across the 19 of their papers we have counts for
33 papers
Self-Supervised Pretraining for Heterogeneous Hypergraph Neural Networks
Abdalgader Abubaker, Takanori Maehara, Madhav Nimishakavi +1
Recently, pretraining methods for the Graph Neural Networks (GNNs) have been successful at learning effective representations from unlabeled graph data. However, most of these meth…
Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters
Takanori Maehara, Hoang NT
Theoretical analyses for graph learning methods often assume a complete observation of the input graph. Such an assumption might not be useful for handling any-size graphs due to t…
Abelian Neural Networks
Kenshin Abe, Takanori Maehara, Issei Sato
We study the problem of modeling a binary operation that satisfies some algebraic requirements. We first construct a neural network architecture for Abelian group operations and de…
r-Gathering Problems on Spiders:Hardness, FPT Algorithms, and PTASes
Soh Kumabe, Takanori Maehara
We consider the min-max -gathering problem described as follows: We are given a set of users and facilities in a metric space. We open some of the facilities and assign each use…
Stacked Graph Filter
Hoang NT, Takanori Maehara, Tsuyoshi Murata
We study Graph Convolutional Networks (GCN) from the graph signal processing viewpoint by addressing a difference between learning graph filters with fully connected weights versus…
Rank axiom of modular supermatroids: A connection with directional DR submodular functions
Takanori Maehara, So Nakashima
A matroid has been one of the most important combinatorial structures since it was introduced by Whitney as an abstraction of linear independence. As an important property of a mat…