23 citations · 47 across the 7 of their papers we have counts for
Showing stat.MLShow all
3 papers · 1 filter
stat.ML2021★ 17 cited
Improving Graph Neural Networks with Simple Architecture Design
Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata
Graph Neural Networks have emerged as a useful tool to learn on the data by applying additional constraints based on the graph structure. These graphs are often created with assume…
stat.ML2020
MetAL: Active Semi-Supervised Learning on Graphs via Meta Learning
Kaushalya Madhawa, Tsuyoshi Murata
The objective of active learning (AL) is to train classification models with less number of labeled instances by selecting only the most informative instances for labeling. The AL…
stat.ML2018
Exploring Partially Observed Networks with Nonparametric Bandits
Kaushalya Madhawa, Tsuyoshi Murata
Real-world networks such as social and communication networks are too large to be observed entirely. Such networks are often partially observed such that network size, network topo…