Ariful Azad

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 83

Top Topics

Bipartite Graph

Maximum Cardinality

Top Venues

IPDPS Workshops

Publications

Nicholas Majeske, Ariful Azad
Multi-modal Recurrent Graph Neural Networks for Spatiotemporal Forecasting. PAKDD (2) (2024)
Md Saidul Hoque Anik, Pranav Badhe, Rohit Gampa, Ariful Azad
iSpLib: A Library for Accelerating Graph Neural Networks using Auto-tuned Sparse Operations. WWW (Companion Volume) (2024)
Isuru Ranawaka, Ariful Azad
Scalable Node Embedding Algorithms Using Distributed Sparse Matrix Operations. IPDPS (Workshops) (2024)
Kathryn Gray, Mingwei Li, Abu Reyan Ahmed, Md. Khaledur Rahman, Ariful Azad, Stephen G. Kobourov, Katy Börner
A Scalable Method for Readable Tree Layouts. IEEE Trans. Vis. Comput. Graph. 30 (2) (2024)
Selahattin Akkas, Ariful Azad
GNNShap: Scalable and Accurate GNN Explanation using Shapley Values. WWW (2024)
Selahattin Akkas, Ariful Azad
GNNShap: Fast and Accurate GNN Explanations using Shapley Values. CoRR (2024)
Charles Block, Gerasimos Gerogiannis, Charith Mendis, Ariful Azad, Josep Torrellas
Two-Face: Combining Collective and One-Sided Communication for Efficient Distributed SpMM. ASPLOS (2) (2024)
Md Saidul Hoque Anik, Pranav Badhe, Rohit Gampa, Ariful Azad
iSpLib: A Library for Accelerating Graph Neural Networks using Auto-tuned Sparse Operations. CoRR (2024)
Da Yan, Ariful Azad, Jie Hou, Jake Y. Chen, Mohammed J. Zaki
22nd International Workshop on Data Mining in Bioinformatics (BIOKDD 2023). KDD (2023)
Isuru Ranawaka, Md. Khaledur Rahman, Ariful Azad
Distributed Sparse Random Projection Trees for Constructing K-Nearest Neighbor Graphs. IPDPS (2023)
Oguz Selvitopi, Saliya Ekanayake, Giulia Guidi, Muaaz G. Awan, Georgios A. Pavlopoulos, Ariful Azad, Nikos Kyrpides, Leonid Oliker, Katherine A. Yelick, Aydin Buluç
Extreme-scale many-against-many protein similarity search. CoRR (2023)
Kathryn Gray, Mingwei Li, Abu Reyan Ahmed, Md. Khaledur Rahman, Ariful Azad, Stephen G. Kobourov, Katy Börner
A Scalable Method for Readable Tree Layouts. CoRR (2023)
Elaheh Hassani, Md Taufique Hussain, Ariful Azad
Parallel Algorithms for Computing Jaccard Weights on Graphs using Linear Algebra. HPEC (2023)
Md. Khaledur Rahman, Abhigya Agrawal, Ariful Azad
MarkovGNN: Graph Neural Networks on Markov Diffusion. WWW (Companion Volume) (2022)
Selahattin Akkas, Ariful Azad
JGCL: Joint Self-Supervised and Supervised Graph Contrastive Learning. WWW (Companion Volume) (2022)
Malintha Fernando, Ransalu Senanayake, Ariful Azad, Martin Swany
Graphical Games for UAV Swarm Control Under Time-Varying Communication Networks. CoRR (2022)
Md. Khaledur Rahman, Ariful Azad
Triple Sparsification of Graph Convolutional Networks without Sacrificing the Accuracy. CoRR (2022)
Md Taufique Hussain, Guttu Sai Abhishek, Aydin Buluç, Ariful Azad
Parallel Algorithms for Adding a Collection of Sparse Matrices. IPDPS Workshops (2022)
Md. Khaledur Rahman, Majedul Haque Sujon, Ariful Azad
Scalable force-directed graph representation learning and visualization. Knowl. Inf. Syst. 64 (1) (2022)
Ariful Azad, Oguz Selvitopi, Md Taufique Hussain, John R. Gilbert, Aydin Buluç
Combinatorial BLAS 2.0: Scaling Combinatorial Algorithms on Distributed-Memory Systems. IEEE Trans. Parallel Distributed Syst. 33 (4) (2022)
Oguz Selvitopi, Saliya Ekanayake, Giulia Guidi, Muaaz G. Awan, Georgios A. Pavlopoulos, Ariful Azad, Nikos Kyrpides, Leonid Oliker, Katherine A. Yelick, Aydin Buluç
Extreme-Scale Many-against-Many Protein Similarity Search. SC (2022)
Tingyi Wanyan, Mingquan Lin, Eyal Klang, Kartikeya M. Menon, Faris F. Gulamali, Ariful Azad, Yiye Zhang, Ying Ding, Zhangyang Wang, Fei Wang, Benjamin S. Glicksberg, Yifan Peng
Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction. BCB (2022)
Nicholas Majeske, Xuesong Zhang, McKailey Sabaj, Lei Gong, Chen Zhu, Ariful Azad
Inductive predictions of hydrologic events using a Long Short-Term Memory network and the Soil and Water Assessment Tool. Environ. Model. Softw. 152 (2022)
Md. Khaledur Rahman, Abhigya Agrawal, Ariful Azad
MarkovGNN: Graph Neural Networks on Markov Diffusion. CoRR (2022)
Md Taufique Hussain, Guttu Sai Abhishek, Aydin Buluç, Ariful Azad
Parallel Algorithms for Adding a Collection of Sparse Matrices. CoRR (2021)
Tingyi Wanyan, Jing Zhang, Ying Ding, Ariful Azad, Zhangyang Wang, Benjamin S. Glicksberg
Bootstrapping Your Own Positive Sample: Contrastive Learning With Electronic Health Record Data. CoRR (2021)
Nicholas Majeske, Bidisha Abesh, Chen Zhu, Ariful Azad
Inductive Predictions of Extreme Hydrologic Events in The Wabash River Watershed. CoRR (2021)
Md. Khaledur Rahman, Majedul Haque Sujon, Ariful Azad
FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph Neural Networks. IPDPS (2021)
Md Taufique Hussain, Oguz Selvitopi, Aydin Buluç, Ariful Azad
Communication-Avoiding and Memory-Constrained Sparse Matrix-Matrix Multiplication at Extreme Scale. IPDPS (2021)
Tingyi Wanyan, Hossein Honarvar, Suraj K. Jaladanki, Chengxi Zang, Nidhi Naik, Sulaiman Somani, Jessica K. De Freitas, Ishan Paranjpe, Akhil Vaid, Jing Zhang, Riccardo Miotto, Zhangyang Wang, Girish N. Nadkarni, Marinka Zitnik, Ariful Azad, Fei Wang, Ying Ding, Benjamin S. Glicksberg
Contrastive learning improves critical event prediction in COVID-19 patients. Patterns 2 (12) (2021)
Tingyi Wanyan, Hossein Honarvar, Suraj K. Jaladanki, Chengxi Zang, Nidhi Naik, Sulaiman Somani, Jessica K. De Freitas, Ishan Paranjpe, Akhil Vaid, Riccardo Miotto, Girish N. Nadkarni, Marinka Zitnik, Ariful Azad, Fei Wang, Ying Ding, Benjamin S. Glicksberg
Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients. CoRR (2021)
Seher Acer, Ariful Azad, Erik G. Boman, Aydin Buluç, Karen D. Devine, S. M. Ferdous, Nitin Gawande, Sayan Ghosh, Mahantesh Halappanavar, Ananth Kalyanaraman, Arif Khan, Marco Minutoli, Alex Pothen, Sivasankaran Rajamanickam, Oguz Selvitopi, Nathan R. Tallent, Antonino Tumeo
EXAGRAPH: Graph and combinatorial methods for enabling exascale applications. Int. J. High Perform. Comput. Appl. 35 (6) (2021)
Md. Khaledur Rahman, Ariful Azad
A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods. CoRR (2021)
Tingyi Wanyan, Akhil Vaid, Jessica K. De Freitas, Sulaiman Somani, Riccardo Miotto, Girish N. Nadkarni, Ariful Azad, Ying Ding, Benjamin S. Glicksberg
Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care Unit. IEEE Trans. Big Data 7 (1) (2021)
Tingyi Wanyan, Hossein Honarvar, Ariful Azad, Ying Ding, Benjamin S. Glicksberg
Deep Learning with Heterogeneous Graph Embeddings for Mortality Prediction from Electronic Health Records. Data Intell. 3 (3) (2021)
Anuj Godase, Md. Khaledur Rahman, Ariful Azad
GNNfam: utilizing sparsity in protein family predictions using graph neural networks. BCB (2021)
Ariful Azad, Oguz Selvitopi, Md Taufique Hussain, John R. Gilbert, Aydin Buluç
Combinatorial BLAS 2.0: Scaling combinatorial algorithms on distributed-memory systems. CoRR (2021)
Johannes Langguth, Aigars Tumanis, Ariful Azad
Incremental Clustering Algorithms for Massive Dynamic Graphs. ICDM (Workshops) (2021)
Oguz Selvitopi, Saliya Ekanayake, Giulia Guidi, Georgios A. Pavlopoulos, Ariful Azad, Aydin Buluç
Distributed many-to-many protein sequence alignment using sparse matrices. SC (2020)
Oguz Selvitopi, Md Taufique Hussain, Ariful Azad, Aydin Buluç
Optimizing High Performance Markov Clustering for Pre-Exascale Architectures. CoRR (2020)
Md. Khaledur Rahman, Majedul Haque Sujon, Ariful Azad
Force2Vec: Parallel force-directed graph embedding. ICDM (2020)
Yongzhe Zhang, Ariful Azad, Aydin Buluç
Parallel algorithms for finding connected components using linear algebra. J. Parallel Distributed Comput. 144 (2020)
Zhixiang Gu, Jose Moreira, David Edelsohn, Ariful Azad
Bandwidth-Optimized Parallel Algorithms for Sparse Matrix-Matrix Multiplication using Propagation Blocking. CoRR (2020)
Tingyi Wanyan, Martin Kang, Marcus A. Badgeley, Kipp W. Johnson, Jessica K. De Freitas, Fayzan F. Chaudhry, Akhil Vaid, Shan Zhao, Riccardo Miotto, Girish N. Nadkarni, Fei Wang, Justin F. Rousseau, Ariful Azad, Ying Ding, Benjamin S. Glicksberg
Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease Predictions. AIME (2020)
Md Taufique Hussain, Oguz Selvitopi, Aydin Buluç, Ariful Azad
Communication-Avoiding and Memory-Constrained Sparse Matrix-Matrix Multiplication at Extreme Scale. CoRR (2020)
Md. Khaledur Rahman, Majedul Haque Sujon, Ariful Azad
BatchLayout: A Batch-Parallel Force-Directed Graph Layout Algorithm in Shared Memory. CoRR (2020)
Tingyi Wanyan, Hossein Honarvar, Ariful Azad, Ying Ding, Benjamin S. Glicksberg
Deep Learning with Heterogeneous Graph Embeddings for Mortality Prediction from Electronic Health Records. CoRR (2020)
Md. Khaledur Rahman, Majedul Haque Sujon, Ariful Azad
Force2Vec: Parallel force-directed graph embedding. CoRR (2020)
Ariful Azad, Aydin Buluç, Xiaoye S. Li, Xinliang Wang, Johannes Langguth
A Distributed-Memory Algorithm for Computing a Heavy-Weight Perfect Matching on Bipartite Graphs. SIAM J. Sci. Comput. 42 (4) (2020)
Ariful Azad, Mohsen Mahmoudi Aznaveh, Scott Beamer, Mark P. Blanco, Jinhao Chen, Luke D'Alessandro, Roshan Dathathri, Tim Davis, Kevin Deweese, Jesun Firoz, Henry A. Gabb, Gurbinder Gill, Bálint Hegyi, Scott P. Kolodziej, Tze Meng Low, Andrew Lumsdaine, Tugsbayasgalan Manlaibaatar, Timothy G. Mattson, Scott McMillan, Ramesh Peri, Keshav Pingali, Upasana Sridhar, Gábor Szárnyas, Yunming Zhang, Yongzhe Zhang
Evaluation of Graph Analytics Frameworks Using the GAP Benchmark Suite. IISWC (2020)
Tingyi Wanyan, Chenwei Zhang, Ariful Azad, Xiaomin Liang, Daifeng Li, Ying Ding
Attribute2vec: Deep Network Embedding Through Multi-Filtering GCN. CoRR (2020)
Katherine A. Yelick, Aydin Buluç, Muaaz G. Awan, Ariful Azad, Benjamin Brock, Rob Egan, Saliya Ekanayake, Marquita Ellis, Evangelos Georganas, Giulia Guidi, Steven A. Hofmeyr, Oguz Selvitopi, Cristina Teodoropol, Leonid Oliker
The Parallelism Motifs of Genomic Data Analysis. CoRR (2020)
Md. Khaledur Rahman, Majedul Haque Sujon, Ariful Azad
FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph Neural Networks. CoRR (2020)
Yongzhe Zhang, Ariful Azad, Zhenjiang Hu
FastSV: A Distributed-Memory Connected Component Algorithm with Fast Convergence. PPSC (2020)
Oguz Selvitopi, Md Taufique Hussain, Ariful Azad, Aydin Buluç
Optimizing High Performance Markov Clustering for Pre-Exascale Architectures. IPDPS (2020)
Oguz Selvitopi, Saliya Ekanayake, Giulia Guidi, Georgios A. Pavlopoulos, Ariful Azad, Aydin Buluç
Distributed Many-to-Many Protein Sequence Alignment using Sparse Matrices. CoRR (2020)
Zhixiang Gu, Jose Moreira, David Edelsohn, Ariful Azad
Bandwidth Optimized Parallel Algorithms for Sparse Matrix-Matrix Multiplication using Propagation Blocking. SPAA (2020)
Langshi Chen, Jiayu Li, Ariful Azad, Cenk Sahinalp, Madhav Marathe, Anil Vullikanti, Andrey Nikolaev, Egor Smirnov, Ruslan Israfilov, Judy Qiu
SubGraph2Vec: Highly-Vectorized Tree-likeSubgraph Counting. CoRR (2020)
Md. Khaledur Rahman, Majedul Haque Sujon, Ariful Azad
BatchLayout: A Batch-Parallel Force-Directed Graph Layout Algorithm in Shared Memory. PacificVis (2020)
Md. Khaledur Rahman, Ariful Azad
Evaluating the Community Structures from Network Images Using Neural Networks. COMPLEX NETWORKS (1) (2019)
Ariful Azad, Aydin Buluç
LACC: A Linear-Algebraic Algorithm for Finding Connected Components in Distributed Memory. IPDPS (2019)
Langshi Chen, Jiayu Li, Ariful Azad, Lei Jiang, Madhav Marathe, Anil Vullikanti, Andrey Nikolaev, Egor Smirnov, Ruslan Israfilov, Judy Qiu
A GraphBLAS Approach for Subgraph Counting. CoRR (2019)
Yusuke Nagasaka, Satoshi Matsuoka, Ariful Azad, Aydin Buluç
Performance optimization, modeling and analysis of sparse matrix-matrix products on multi-core and many-core processors. Parallel Comput. 90 (2019)
Yongzhe Zhang, Ariful Azad, Zhenjiang Hu
FastSV: A Distributed-Memory Connected Component Algorithm with Fast Convergence. CoRR (2019)
Yusuke Nagasaka, Satoshi Matsuoka, Ariful Azad, Aydin Buluç
High-performance sparse matrix-matrix products on Intel KNL and multicore architectures. CoRR (2018)
Penporn Koanantakool, Alnur Ali, Ariful Azad, Aydin Buluç, Dmitriy Morozov, Leonid Oliker, Katherine A. Yelick, Sang-Yun Oh
Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation. AISTATS (2018)
Yusuke Nagasaka, Satoshi Matsuoka, Ariful Azad, Aydin Buluç
High-Performance Sparse Matrix-Matrix Products on Intel KNL and Multicore Architectures. ICPP Workshops (2018)
Ye Chen, Ryan D. Calvert, Ariful Azad, Bartek Rajwa, James Fleet, Timothy Ratliff, Alex Pothen
Phenotyping Immune Cells in Tumor and Healthy Tissue Using Flow Cytometry Data. BCB (2018)
Amir Gholami, Ariful Azad, Peter H. Jin, Kurt Keutzer, Aydin Buluç
Integrated Model, Batch, and Domain Parallelism in Training Neural Networks. SPAA (2018)
Ariful Azad, Aydin Buluç, Xiaoye S. Li, Xinliang Wang, Johannes Langguth
A distributed-memory approximation algorithm for maximum weight perfect bipartite matching. CoRR (2018)
Amir Gholami, Ariful Azad, Kurt Keutzer, Aydin Buluç
Integrated Model and Data Parallelism in Training Neural Networks. CoRR (2017)
Penporn Koanantakool, Alnur Ali, Ariful Azad, Aydin Buluç, Dmitriy Morozov, Sang-Yun Oh, Leonid Oliker, Katherine A. Yelick
Communication-Avoiding Optimization Methods for Massive-Scale Graphical Model Structure Learning. CoRR (2017)
Ariful Azad, Aydin Buluç
A Work-Efficient Parallel Sparse Matrix-Sparse Vector Multiplication Algorithm. IPDPS (2017)
Ariful Azad, Mathias Jacquelin, Aydin Buluç, Esmond G. Ng
The Reverse Cuthill-McKee Algorithm in Distributed-Memory. IPDPS (2017)
Ariful Azad, Aydin Buluç, Alex Pothen
Computing Maximum Cardinality Matchings in Parallel on Bipartite Graphs via Tree-Grafting. IEEE Trans. Parallel Distributed Syst. 28 (1) (2017)
Ariful Azad, Aydin Buluç
Towards a GraphBLAS Library in Chapel. IPDPS Workshops (2017)
Penporn Koanantakool, Ariful Azad, Aydin Buluç, Dmitriy Morozov, Sang-Yun Oh, Leonid Oliker, Katherine A. Yelick
Communication-Avoiding Parallel Sparse-Dense Matrix-Matrix Multiplication. IPDPS (2016)
Ariful Azad, Aydin Buluç
Distributed-Memory Algorithms for Maximum Cardinality Matching in Bipartite Graphs. IPDPS (2016)
Ariful Azad, Grey Ballard, Aydin Buluç, James Demmel, Laura Grigori, Oded Schwartz, Sivan Toledo, Samuel Williams
Exploiting Multiple Levels of Parallelism in Sparse Matrix-Matrix Multiplication. SIAM J. Sci. Comput. 38 (6) (2016)
Ariful Azad, Bartek Rajwa, Alex Pothen
flowVS: channel-specific variance stabilization in flow cytometry. BMC Bioinform. 17 (2016)
Ariful Azad, Mathias Jacquelin, Aydin Buluç, Esmond G. Ng
The Reverse Cuthill-McKee Algorithm in Distributed-Memory. CoRR (2016)
Ariful Azad, Aydin Buluç
A matrix-algebraic formulation of distributed-memory maximal cardinality matching algorithms in bipartite graphs. Parallel Comput. 58 (2016)
Ariful Azad, Aydin Buluç
A work-efficient parallel sparse matrix-sparse vector multiplication algorithm. CoRR (2016)
Ariful Azad, Aydin Buluç, John R. Gilbert
Parallel Triangle Counting and Enumeration Using Matrix Algebra. IPDPS Workshops (2015)
Ariful Azad, Grey Ballard, Aydin Buluç, James Demmel, Laura Grigori, Oded Schwartz, Sivan Toledo, Samuel Williams
Exploiting Multiple Levels of Parallelism in Sparse Matrix-Matrix Multiplication. CoRR (2015)
Ariful Azad
An Algorithmic Pipeline for Analyzing Multi-parametric Flow Cytometry Data. CoRR (2015)
Ariful Azad, Aydin Buluç, Alex Pothen
A Parallel Tree Grafting Algorithm for Maximum Cardinality Matching in Bipartite Graphs. IPDPS (2015)
Mahantesh Halappanavar, Alex Pothen, Ariful Azad, Fredrik Manne, Johannes Langguth, Arif M. Khan
Codesign Lessons Learned from Implementing Graph Matching on Multithreaded Architectures. Computer 48 (8) (2015)
Ariful Azad, Aydin Buluç
Distributed-Memory Algorithms for Maximal Cardinality Matching Using Matrix Algebra. CLUSTER (2015)
Ariful Azad, Bartek Rajwa, Alex Pothen
Immunophenotypes of Acute Myeloid Leukemia From Flow Cytometry Data Using Templates. CoRR (2014)
Johannes Langguth, Ariful Azad, Mahantesh Halappanavar, Fredrik Manne
On parallel push-relabel based algorithms for bipartite maximum matching. Parallel Comput. 40 (7) (2014)
Ariful Azad, Arif M. Khan, Bartek Rajwa, Saumyadipta Pyne, Alex Pothen
Classifying Immunophenotypes With Templates From Flow Cytometry. BCB (2013)
Ariful Azad, Alex Pothen
Multithreaded Algorithms for Matching in Graphs with Application to Data Analysis in Flow Cytometry. IPDPS Workshops (2012)
Ariful Azad, Mahantesh Halappanavar, Sivasankaran Rajamanickam, Erik G. Boman, Arif M. Khan, Alex Pothen
Multithreaded Algorithms for Maxmum Matching in Bipartite Graphs. IPDPS (2012)
Ariful Azad, Saumyadipta Pyne, Alex Pothen
Matching phosphorylation response patterns of antigen-receptor-stimulated T cells via flow cytometry. BMC Bioinform. 13 (S-2) (2012)
Ariful Azad, Mahantesh Halappanavar, Florin Dobrian, Alex Pothen
Computing maximum matching in parallel on bipartite graphs: worth the effort? IA3@SC (2011)
Ariful Azad, Johannes Langguth, Youhan Fang, Alan Qi, Alex Pothen
Identifying Rare Cell Populations in Comparative Flow Cytometry. WABI (2010)