21 citations · 39 across the 8 of their papers we have counts for
13 papers
Knowledge-Aware Neural Networks for Medical Forum Question Classification
Soumyadeep Roy, Sudip Chakraborty, Aishik Mandal +6
Online medical forums have become a predominant platform for answering health-related information needs of consumers. However, with a significant rise in the number of queries and…
Learnt Sparsification for Interpretable Graph Neural Networks
Mandeep Rathee, Zijian Zhang, Thorben Funke +2
Graph neural networks (GNNs) have achieved great success on various tasks and fields that require relational modeling. GNNs aggregate node features using the graph structure as ind…
Achieving differential privacy for -nearest neighbors based outlier detection by data partitioning
Jens Rauch, Iyiola E. Olatunji, Megha Khosla
When applying outlier detection in settings where data is sensitive, mechanisms which guarantee the privacy of the underlying data are needed. The -nearest neighbors (-NN) al…
Quantum machine learning of graph-structured data
Kerstin Beer, Megha Khosla, Julius Köhler +1
Graph structures are ubiquitous throughout the natural sciences. Here we consider graph-structured quantum data and describe how to carry out its quantum machine learning via quant…
Revisiting the Auction Algorithm for Weighted Bipartite Perfect Matchings
Megha Khosla, Avishek Anand
We study the classical weighted perfect matchings problem for bipartite graphs or sometimes referred to as the assignment problem, i.e., given a weighted bipartite graph $G = (U\cu…
Valid Explanations for Learning to Rank Models
Jaspreet Singh, Zhenye Wang, Megha Khosla +1
Learning-to-rank (LTR) is a class of supervised learning techniques that apply to ranking problems dealing with a large number of features. The popularity and widespread applicatio…