16 citations · 24 across the 6 of their papers we have counts for
7 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…
Exact Computation of Influence Spread by Binary Decision Diagrams
Takanori Maehara, Hirofumi Suzuki, Masakazu Ishihata
Evaluating influence spread in social networks is a fundamental procedure to estimate the word-of-mouth effect in viral marketing. There are enormous studies about this topic; howe…
Finding Alternate Features in Lasso
Satoshi Hara, Takanori Maehara
We propose a method for finding alternate features missing in the Lasso optimal solution. In ordinary Lasso problem, one global optimum is obtained and the resulting features are i…
Optimal Pricing for Submodular Valuations with Bounded Curvature
Takanori Maehara, Yasushi Kawase, Hanna Sumita +2
The optimal pricing problem is a fundamental problem that arises in combinatorial auctions. Suppose that there is one seller who has indivisible items and multiple buyers who want…
Learning Word Representations from Relational Graphs
Danushka Bollegala, Takanori Maehara, Yuichi Yoshida +1
Attributes of words and relations between two words are central to numerous tasks in Artificial Intelligence such as knowledge representation, similarity measurement, and analogy d…
Efficient SimRank Computation via Linearization
Takanori Maehara, Mitsuru Kusumoto, Ken-ichi Kawarabayashi
SimRank, proposed by Jeh and Widom, provides a good similarity measure that has been successfully used in numerous applications. While there are many algorithms proposed for comput…