4 citations · 11 across the 7 of their papers we have counts for
9 papers
Distributed Many-to-Many Protein Sequence Alignment using Sparse Matrices
Oguz Selvitopi, Saliya Ekanayake, Giulia Guidi +3
Identifying similar protein sequences is a core step in many computational biology pipelines such as detection of homologous protein sequences, generation of similarity protein gra…
Force2Vec: Parallel force-directed graph embedding
Md. Khaledur Rahman, Majedul Haque Sujon, Ariful Azad
A graph embedding algorithm embeds a graph into a low-dimensional space such that the embedding preserves the inherent properties of the graph. While graph embedding is fundamental…
Attribute2vec: Deep Network Embedding Through Multi-Filtering GCN
Tingyi Wanyan, Chenwei Zhang, Ariful Azad +3
We present a multi-filtering Graph Convolution Neural Network (GCN) framework for network embedding task. It uses multiple local GCN filters to do feature extraction in every propa…
Bandwidth-Optimized Parallel Algorithms for Sparse Matrix-Matrix Multiplication using Propagation Blocking
Zhixiang Gu, Jose Moreira, David Edelsohn +1
Sparse matrix-matrix multiplication (SpGEMM) is a widely used kernel in various graph, scientific computing and machine learning algorithms. It is well known that SpGEMM is a memor…
Optimizing High Performance Markov Clustering for Pre-Exascale Architectures
Oguz Selvitopi, Md Taufique Hussain, Ariful Azad +1
HipMCL is a high-performance distributed memory implementation of the popular Markov Cluster Algorithm (MCL) and can cluster large-scale networks within hours using a few thousand…
BatchLayout: A Batch-Parallel Force-Directed Graph Layout Algorithm in Shared Memory
Md. Khaledur Rahman, Majedul Haque Sujon, Ariful Azad
Force-directed algorithms are widely used to generate aesthetically pleasing layouts of graphs or networks arisen in many scientific disciplines. To visualize large-scale graphs, s…