109 citations · 196 across the 30 of their papers we have counts for
5 papers · 1 filter
A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods
Md. Khaledur Rahman, Ariful Azad
Graph representation learning is a fast-growing field where one of the main objectives is to generate meaningful representations of graphs in lower-dimensional spaces. The learned…
Parallel Algorithms for Adding a Collection of Sparse Matrices
Md Taufique Hussain, Guttu Sai Abhishek, Aydin Buluç +1
We develop a family of parallel algorithms for the SpKAdd operation that adds a collection of k sparse matrices. SpKAdd is a much needed operation in many applications including di…
Combinatorial BLAS 2.0: Scaling combinatorial algorithms on distributed-memory systems
Ariful Azad, Oguz Selvitopi, Md Taufique Hussain +2
Combinatorial algorithms such as those that arise in graph analysis, modeling of discrete systems, bioinformatics, and chemistry, are often hard to parallelize. The Combinatorial B…
Inductive Predictions of Extreme Hydrologic Events in The Wabash River Watershed
Nicholas Majeske, Bidisha Abesh, Chen Zhu +1
We present a machine learning method to predict extreme hydrologic events from spatially and temporally varying hydrological and meteorological data. We used a timestep reduction t…
Bootstrapping Your Own Positive Sample: Contrastive Learning With Electronic Health Record Data
Tingyi Wanyan, Jing Zhang, Ying Ding +3
Electronic Health Record (EHR) data has been of tremendous utility in Artificial Intelligence (AI) for healthcare such as predicting future clinical events. These tasks, however, o…