Search Results for author: Isaiah Onando Mulang'

Found 10 papers, 5 papers with code

How Expressive are Transformers in Spectral Domain for Graphs?

1 code implementation23 Jan 2022 Anson Bastos, Abhishek Nadgeri, Kuldeep Singh, Hiroki Kanezashi, Toyotaro Suzumura, Isaiah Onando Mulang'

We further provide a theoretical analysis and prove that the spatial attention mechanism in the transformer cannot effectively capture the desired frequency response, thus, inherently limiting its expressiveness in spectral space.

Graph Representation Learning

Post-discovery Analysis of Anomalous Subsets

no code implementations23 Nov 2021 Isaiah Onando Mulang', William Ogallo, Girmaw Abebe Tadesse, Aisha Walcott-Bryant

Analyzing the behaviour of a population in response to disease and interventions is critical to unearth variability in healthcare as well as understand sub-populations that require specialized attention, but also to assist in designing future interventions.

Automated Supervised Feature Selection for Differentiated Patterns of Care

no code implementations5 Nov 2021 Catherine Wanjiru, William Ogallo, Girmaw Abebe Tadesse, Charles Wachira, Isaiah Onando Mulang', Aisha Walcott-Bryant

The pipeline included three types of feature selection techniques; Filters, Wrappers and Embedded methods to select the top K features.

Ranking Facts for Explaining Answers to Elementary Science Questions

no code implementations18 Oct 2021 Jennifer D'Souza, Isaiah Onando Mulang', Soeren Auer

In multiple-choice exams, students select one answer from among typically four choices and can explain why they made that particular choice.

Interpretable Machine Learning Learning-To-Rank +2

Evaluating the Impact of Knowledge Graph Context on Entity Disambiguation Models

1 code implementation12 Aug 2020 Isaiah Onando Mulang', Kuldeep Singh, Chaitali Prabhu, Abhishek Nadgeri, Johannes Hoffart, Jens Lehmann

We further hypothesize that our proposed KG context can be standardized for Wikipedia, and we evaluate the impact of KG context on state-of-the-art NED model for the Wikipedia knowledge base.

Entity Disambiguation

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