no code implementations • ICON 2021 • Bharath Kumar Reddy Apparreddy, Sailaja Rajanala, Manish Singh
Data security and privacy is an issue of growing importance in the healthcare domain.
1 code implementation • 25 Feb 2024 • Anson Bastos, Kuldeep Singh, Abhishek Nadgeri, Manish Singh, Toyotaro Suzumura
Hence, as a reference implementation, we develop a simple neural model induced with EFT for capturing evolving graph spectra.
1 code implementation • 30 Jan 2023 • Anson Bastos, Kuldeep Singh, Abhishek Nadgeri, Johannes Hoffart, Toyotaro Suzumura, Manish Singh
$\mathcal{KP}$ addresses this by representing the topology of the KG completion methods through the lens of topological data analysis, concretely using persistent homology.
no code implementations • 22 Nov 2022 • Anson Bastos, Abhishek Nadgeri, Kuldeep Singh, Toyotaro Suzumura, Manish Singh
Since static methods to learn the graph spectrum would not consider the history of the evolution of the spectrum as the graph evolves with time, we propose a novel approach to learn the graph wavelets to capture this evolving spectra.
no code implementations • 22 Aug 2019 • Nagendra Kumar, Yash Chandarana, K. Anand, Manish Singh
To do WoM marketing, we need to identify a set of people who can use their authoritative position in social network to promote a given product.
no code implementations • 22 Aug 2019 • Nagendra Kumar, Gopi Ande, J. Shirish Kumar, Manish Singh
One of the main goals of content creators is to spread their information to a large audience.
no code implementations • 21 Aug 2019 • Nagendra Kumar, Rakshita Nagalla, Tanya Marwah, Manish Singh
We also analyze users' reactions and opinion sentiment on news posts with different sentiments.
1 code implementation • NeurIPS 2018 • Aditya Kusupati, Manish Singh, Kush Bhatia, Ashish Kumar, Prateek Jain, Manik Varma
FastRNN addresses these limitations by adding a residual connection that does not constrain the range of the singular values explicitly and has only two extra scalar parameters.
no code implementations • 11 Jan 2017 • Tapan Sahni, Chinmay Chandak, Naveen Reddy Chedeti, Manish Singh
In this paper, we propose techniques to speed up the computation process for sentiment analysis.
no code implementations • NeurIPS 2010 • Vicky Froyen, Jacob Feldman, Manish Singh
Figure/ground assignment, in which the visual image is divided into nearer (figural) and farther (ground) surfaces, is an essential step in visual processing, but its underlying computational mechanisms are poorly understood.