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Journal Articles
- 2024
[j7]Hatem Helal, Jesun Firoz, Jenna A. Bilbrey, Henry Sprueill, Kristina M. Herman
, Mario Michael Krell, Tom Murray, Manuel Lopez Roldan, Mike Kraus, Ang Li, Payel Das, Sotiris S. Xantheas, Sutanay Choudhury:
Acceleration of Graph Neural Network-Based Prediction Models in Chemistry via Co-Design Optimization on Intelligence Processing Units. J. Chem. Inf. Model. 64(5): 1568-1580 (2024)- 2022
- [j6]Sai Pushpak Nandanoori, Sheng Guan, Soumya Kundu, Seemita Pal, Khushbu Agarwal, Yinghui Wu, Sutanay Choudhury:
Graph Neural Network and Koopman Models for Learning Networked Dynamics: A Comparative Study on Power Grid Transients Prediction. IEEE Access 10: 32337-32349 (2022) - 2021
- [j5]Francis J. Alexander, James A. Ang, Jenna A. Bilbrey, Jan Balewski, Tiernan Casey, Ryan Chard, Jong Choi, Sutanay Choudhury, Bert J. Debusschere, Anthony M. DeGennaro, Nikoli Dryden, J. Austin Ellis, Ian T. Foster, Cristina Garcia-Cardona, Sayan Ghosh, Peter Harrington, Yunzhi Huang, Shantenu Jha, Travis Johnston, Ai Kagawa, Ramakrishnan Kannan, Neeraj Kumar, Zhengchun Liu, Naoya Maruyama, Satoshi Matsuoka, Erin McCarthy, Jamaludin Mohd-Yusof, Peter Nugent, Yosuke Oyama, Thomas Proffen, David Pugmire, Sivasankaran Rajamanickam, Vinay Ramakrishnaiah, Malachi Schram, Sudip K. Seal, Ganesh Sivaraman, Christine Sweeney, Li Tan, Rajeev Thakur, Brian Van Essen, Logan T. Ward, Paul M. Welch, Michael Wolf, Sotiris S. Xantheas, Kevin G. Yager, Shinjae Yoo, Byung-Jun Yoon:
Co-design Center for Exascale Machine Learning Technologies (ExaLearn). Int. J. High Perform. Comput. Appl. 35(6): 598-616 (2021) - [j4]Sheng Guan, Hanchao Ma, Sutanay Choudhury, Yinghui Wu:
GEDet: Detecting Erroneous Nodes with A Few Examples. Proc. VLDB Endow. 14(12): 2875-2878 (2021) - 2014
- [j3]Alessandro Morari, Vito Giovanni Castellana, Oreste Villa, Antonino Tumeo, Jesse Weaver, David Haglin, Sutanay Choudhury, John Feo:
Scaling Semantic Graph Databases in Size and Performance. IEEE Micro 34(4): 16-26 (2014) - [j2]Jesse Weaver, Vito Giovanni Castellana, Alessandro Morari, Antonino Tumeo, Sumit Purohit, Alan R. Chappell, David Haglin, Oreste Villa, Sutanay Choudhury, Karen Schuchardt, John Feo:
Toward a data scalable solution for facilitating discovery of science resources. Parallel Comput. 40(10): 682-696 (2014) - 2010
- [j1]Anuj R. Shah, Joshua N. Adkins, Douglas J. Baxter, William R. Cannon, Daniel G. Chavarría-Miranda, Sutanay Choudhury, Ian Gorton, Deborah K. Gracio, Todd D. Halter, Navdeep Jaitly, John R. Johnson, Richard T. Kouzes, Matthew C. Macduff, Andrès Márquez, Matthew E. Monroe, Christopher S. Oehmen, William A. Pike, Chad Scherrer, Oreste Villa, Bobbie-Jo M. Webb-Robertson, Paul D. Whitney, Nino Zuljevic:
Applications in Data-Intensive Computing. Adv. Comput. 79: 1-70 (2010)
Conference and Workshop Papers
- 2024
- [c41]Stefan Dernbach, Khushbu Agarwal, Alejandro Zuniga, Michael Henry, Sutanay Choudhury:
GLaM: Fine-Tuning Large Language Models for Domain Knowledge Graph Alignment via Neighborhood Partitioning and Generative Subgraph Encoding. AAAI Spring Symposia 2024: 82-89 - [c40]Andrew Engel, Zhichao Wang, Natalie Frank, Ioana Dumitriu, Sutanay Choudhury, Anand D. Sarwate, Tony Chiang:
Faithful and Efficient Explanations for Neural Networks via Neural Tangent Kernel Surrogate Models. ICLR 2024 - [c39]Henry W. Sprueill, Carl Edwards, Khushbu Agarwal, Mariefel V. Olarte, Udishnu Sanyal, Conrad Johnston, Hongbin Liu, Heng Ji, Sutanay Choudhury:
CHEMREASONER: Heuristic Search over a Large Language Model's Knowledge Space using Quantum-Chemical Feedback. ICML 2024 - [c38]Hongwu Peng, Caiwen Ding, Tong Geng, Sutanay Choudhury, Kevin J. Barker, Ang Li:
Evaluating Emerging AI/ML Accelerators: IPU, RDU, and NVIDIA/AMD GPUs. ICPE (Companion) 2024: 14-20 - 2023
- [c37]Henry Sprueill, Carl Edwards, Mariefel V. Olarte, Udishnu Sanyal, Heng Ji, Sutanay Choudhury:
Monte Carlo Thought Search: Large Language Model Querying for Complex Scientific Reasoning in Catalyst Design. EMNLP (Findings) 2023: 8348-8365 - [c36]Jou-An Chen, Hsin-Hsuan Sung, Xipeng Shen, Sutanay Choudhury, Ang Li:
BitGNN: Unleashing the Performance Potential of Binary Graph Neural Networks on GPUs. ICS 2023: 264-276 - [c35]Mehrdad Khatir, Nurendra Choudhary, Sutanay Choudhury, Khushbu Agarwal, Chandan K. Reddy:
A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks. IJCAI 2023: 3875-3883 - [c34]Logan T. Ward, J. Gregory Pauloski, Valérie Hayot-Sasson, Ryan Chard, Yadu N. Babuji, Ganesh Sivaraman, Sutanay Choudhury, Kyle Chard, Rajeev Thakur, Ian T. Foster:
Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources. IPDPS Workshops 2023: 32-41 - [c33]Sutanay Choudhury, Khushbu Agarwal, Colby Ham, Suzanne Tamang:
MediSage: An AI Assistant for Healthcare via Composition of Neural-Symbolic Reasoning Operators. WWW (Companion Volume) 2023: 258-261 - 2022
- [c32]Ping Wang, Tian Shi, Khushbu Agarwal, Sutanay Choudhury, Chandan K. Reddy:
Attention-based aspect reasoning for knowledge base question answering on clinical notes. BCB 2022: 10:1-10:6 - [c31]Sayak Mukherjee, Sai Pushpak Nandanoori, Sheng Guan, Khushbu Agarwal, Subhrajit Sinha, Soumya Kundu, Seemita Pal, Yinghui Wu, Draguna L. Vrabie, Sutanay Choudhury:
Learning Distributed Geometric Koopman Operator for Sparse Networked Dynamical Systems. LoG 2022: 45 - 2021
- [c30]Sutanay Choudhury, Khushbu Agarwal, Colby Ham, Pritam Mukherjee, Siyi Tang, Sindhu Tipirneni, Veysel Kocaman, Suzanne Tamang, Robert Rallo, Chandan K. Reddy:
Tracking the Evolution of COVID-19 via Temporal Comorbidity Analysis from Multi-Modal Data. AMIA 2021 - [c29]Sai Pushpak Nandanoori, Seemita Pal, Subhrajit Sinha, Soumya Kundu, Khushbu Agarwal, Sutanay Choudhury:
Data-driven Distributed Learning of Multi-agent Systems: A Koopman Operator Approach. CDC 2021: 5059-5066 - [c28]Ping Wang, Khushbu Agarwal, Colby Ham, Sutanay Choudhury, Chandan K. Reddy:
Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks. WWW 2021: 2946-2957 - 2020
- [c27]Sai Pushpak Nandanoori, Soumya Kundu, Seemita Pal, Khushbu Agarwal, Sutanay Choudhury:
Model-Agnostic Algorithm for Real-Time Attack Identification in Power Grid using Koopman Modes. SmartGridComm 2020: 1-6 - 2018
- [c26]Patrick Mackey, Katherine Porterfield, Erin Fitzhenry, Sutanay Choudhury, George Chin Jr.:
A Chronological Edge-Driven Approach to Temporal Subgraph Isomorphism. IEEE BigData 2018: 3972-3979 - [c25]Sutanay Choudhury, Sumit Purohit, Peng Lin, Yinghui Wu, Lawrence B. Holder, Khushbu Agarwal:
Percolator: Scalable Pattern Discovery in Dynamic Graphs. WSDM 2018: 759-762 - 2017
- [c24]Sumit Purohit, Sutanay Choudhury, Lawrence B. Holder:
Application-specific graph sampling for frequent subgraph mining and community detection. IEEE BigData 2017: 1000-1005 - [c23]Arun V. Sathanur, Sutanay Choudhury, Cliff A. Joslyn, Sumit Purohit:
When Labels Fall Short: Property Graph Simulation via Blending of Network Structure and Vertex Attributes. CIKM 2017: 2287-2290 - [c22]Sutanay Choudhury, Khushbu Agarwal, Sumit Purohit, Baichuan Zhang, Meg Pirrung, William P. Smith, Mathew Thomas:
NOUS: Construction and Querying of Dynamic Knowledge Graphs. ICDE 2017: 1563-1565 - 2016
- [c21]Pin-Yu Chen, Sutanay Choudhury, Alfred O. Hero III:
Multi-centrality graph spectral decompositions and their application to cyber intrusion detection. ICASSP 2016: 4553-4557 - [c20]Charalampos Chelmis, Sutanay Choudhury, Arindam Pal, Anand V. Panangadan, Weiqin Tong, Yinglong Xia:
ParLearning Introduction and Committees. IPDPS Workshops 2016: 1390-1391 - 2015
- [c19]Luke Rodriguez, Darren S. Curtis, Sutanay Choudhury, Kiri Oler, Peter Nordquist, Pin-Yu Chen, Indrajit Ray:
DEMO: Action Recommendation for Cyber Resilience. CCS 2015: 1620-1622 - [c18]Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., Khushbu Agarwal, John Feo:
A Selectivity based approach to Continuous Pattern Detection in Streaming Graphs. EDBT 2015: 157-168 - [c17]Sutanay Choudhury, Arindam Pal, Anand V. Panangadan, Yinglong Xia:
ParLearning Introduction and Committees. IPDPS Workshops 2015: 1152-1153 - [c16]Sutanay Choudhury, Luke Rodriguez, Darren S. Curtis, Kiri Oler, Peter Nordquist, Pin-Yu Chen, Indrajit Ray:
Action Recommendation for Cyber Resilience. SafeConfig@CCS 2015: 3-8 - 2014
- [c15]George Chin Jr., Sutanay Choudhury, John Feo, Lawrence B. Holder:
Predicting and detecting emerging cyberattack patterns using StreamWorks. CISR 2014: 93-96 - [c14]Hao Lu, Mahantesh Halappanavar, Ananth Kalyanaraman, Sutanay Choudhury:
Parallel Heuristics for Scalable Community Detection. IPDPS Workshops 2014: 1374-1385 - [c13]Abhik Ray, Larry Holder, Sutanay Choudhury:
Frequent Subgraph Discovery in Large Attributed Streaming Graphs. BigMine 2014: 166-181 - [c12]Michael D. Lieberman, Sutanay Choudhury, Marisa Hughes, Dennis Patrone, Robert T. Hider Jr., Christine D. Piatko, Matthew Chapman, J. P. Marple, David Silberberg:
Parasol: An Architecture for Cross-Cloud Federated Graph Querying. DanaC@SIGMOD 2014: 4:1-4:4 - 2013
- [c11]Sutanay Choudhury, George Chin Jr., Yinglong Xia:
ParLearning Introduction. IPDPS Workshops 2013: 1856-1858 - [c10]Mahantesh Halappanavar, Sutanay Choudhury, Emilie Hogan, Peter Hui, John R. Johnson, Indrajit Ray, Lawrence B. Holder:
Towards a network-of-networks framework for cyber security. ISI 2013: 106-108 - [c9]Alan R. Chappell, Sutanay Choudhury, John Feo, David J. Haglin, Alessandro Morari, Sumit Purohit, Karen Schuchardt, Antonino Tumeo, Jesse Weaver, Oreste Villa:
Toward a data scalable solution for facilitating discovery of scientific data resources. DISCS@SC 2013: 55-60 - [c8]Sutanay Choudhury, Lawrence B. Holder, John Feo, George Chin Jr.:
Fast search for dynamic multi-relational graphs. DyNetMM@SIGMOD 2013: 1-8 - [c7]Cliff A. Joslyn, Sutanay Choudhury, David Haglin, Bill Howe, Bill Nickless, Bryan Olsen:
Massive scale cyber traffic analysis: a driver for graph database research. GRADES 2013: 3 - [c6]Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., Abhik Ray, Sherman Beus, John Feo:
StreamWorks: a system for dynamic graph search. SIGMOD Conference 2013: 1101-1104 - 2012
- [c5]Sutanay Choudhury, George Chin Jr., Yinglong Xia:
ParLearning Introduction. IPDPS Workshops 2012: 1905-1906 - [c4]George Chin Jr., Andrès Márquez, Sutanay Choudhury, John Feo:
Scalable Triadic Analysis of Large-Scale Graphs: Multi-core vs. Multi-processor vs. Multi-threaded Shared Memory Architectures. SBAC-PAD 2012: 163-170 - 2011
- [c3]George Chin Jr., Sutanay Choudhury, Lars Kangas, Sally McFarlane, Andrès Márquez:
Evaluating In-Clique and Topological Parallelism Strategies for Junction Tree-Based Bayesian Network Inference Algorithm on the Cray XMT. IPDPS Workshops 2011: 1710-1719 - 2010
- [c2]George Chin Jr., Sutanay Choudhury, Lars Kangas, Sally McFarlane, Andrès Márquez:
Fault Detection in Distributed Climate Sensor Networks Using Dynamic Bayesian Networks. eScience 2010: 121-128 - 2009
- [c1]George Chin Jr., Andrès Márquez, Sutanay Choudhury, Kristyn J. Maschhoff:
Implementing and evaluating multithreaded triad census algorithms on the Cray XMT. IPDPS 2009: 1-9
Informal and Other Publications
- 2024
- [i34]Stefan Dernbach, Khushbu Agarwal, Alejandro Zuniga, Michael Henry, Sutanay Choudhury:
GLaM: Fine-Tuning Large Language Models for Domain Knowledge Graph Alignment via Neighborhood Partitioning and Generative Subgraph Encoding. CoRR abs/2402.06764 (2024) - [i33]Henry W. Sprueill, Carl Edwards, Khushbu Agarwal, Mariefel V. Olarte, Udishnu Sanyal, Conrad Johnston, Hongbin Liu, Heng Ji, Sutanay Choudhury:
ChemReasoner: Heuristic Search over a Large Language Model's Knowledge Space using Quantum-Chemical Feedback. CoRR abs/2402.10980 (2024) - 2023
- [i32]Logan T. Ward, J. Gregory Pauloski, Valérie Hayot-Sasson, Ryan Chard, Yadu N. Babuji, Ganesh Sivaraman, Sutanay Choudhury, Kyle Chard, Rajeev Thakur, Ian T. Foster:
Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources. CoRR abs/2303.08803 (2023) - [i31]Jou-An Chen, Hsin-Hsuan Sung, Xipeng Shen, Sutanay Choudhury, Ang Li:
BitGNN: Unleashing the Performance Potential of Binary Graph Neural Networks on GPUs. CoRR abs/2305.02522 (2023) - [i30]Andrew Engel, Zhichao Wang, Natalie S. Frank, Ioana Dumitriu, Sutanay Choudhury, Anand D. Sarwate, Tony Chiang:
Robust Explanations for Deep Neural Networks via Pseudo Neural Tangent Kernel Surrogate Models. CoRR abs/2305.14585 (2023) - [i29]Henry W. Sprueill, Carl Edwards, Mariefel V. Olarte, Udishnu Sanyal, Heng Ji, Sutanay Choudhury:
Monte Carlo Thought Search: Large Language Model Querying for Complex Scientific Reasoning in Catalyst Design. CoRR abs/2310.14420 (2023) - [i28]Hongwu Peng, Caiwen Ding, Tong Geng, Sutanay Choudhury, Kevin J. Barker, Ang Li:
Evaluating Emerging AI/ML Accelerators: IPU, RDU, and NVIDIA/AMD GPUs. CoRR abs/2311.04417 (2023) - 2022
- [i27]Sai Pushpak Nandanoori, Sheng Guan, Soumya Kundu, Seemita Pal, Khushbu Agarwal, Yinghui Wu, Sutanay Choudhury:
Graph Neural Network and Koopman Models for Learning Networked Dynamics: A Comparative Study on Power Grid Transients Prediction. CoRR abs/2202.08065 (2022) - [i26]Andrew Engel, Zhichao Wang, Anand D. Sarwate, Sutanay Choudhury, Tony Chiang:
TorchNTK: A Library for Calculation of Neural Tangent Kernels of PyTorch Models. CoRR abs/2205.12372 (2022) - [i25]Mehrdad Khatir, Nurendra Choudhary, Sutanay Choudhury, Khushbu Agarwal, Chandan K. Reddy:
Pseudo-Poincaré: A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks. CoRR abs/2206.04285 (2022) - [i24]Jenna A. Bilbrey, Kristina M. Herman, Henry Sprueill, Sotiris S. Xantheas, Payel Das, Manuel Lopez Roldan, Mike Kraus, Hatem Helal, Sutanay Choudhury:
Reducing Down(stream)time: Pretraining Molecular GNNs using Heterogeneous AI Accelerators. CoRR abs/2211.04598 (2022) - [i23]Hatem Helal, Jesun Firoz, Jenna A. Bilbrey, Mario Michael Krell, Tom Murray, Ang Li, Sotiris S. Xantheas, Sutanay Choudhury:
Extreme Acceleration of Graph Neural Network-based Prediction Models for Quantum Chemistry. CoRR abs/2211.13853 (2022) - 2021
- [i22]Logan T. Ward, Jenna A. Bilbrey, Sutanay Choudhury, Neeraj Kumar, Ganesh Sivaraman:
Benchmarking Deep Graph Generative Models for Optimizing New Drug Molecules for COVID-19. CoRR abs/2102.04977 (2021) - [i21]Jenna A. Bilbrey, Logan T. Ward, Sutanay Choudhury, Neeraj Kumar, Ganesh Sivaraman:
Evening the Score: Targeting SARS-CoV-2 Protease Inhibition in Graph Generative Models for Therapeutic Candidates. CoRR abs/2105.10489 (2021) - [i20]Ping Wang, Tian Shi, Khushbu Agarwal, Sutanay Choudhury, Chandan K. Reddy:
Attention-based Aspect Reasoning for Knowledge Base Question Answering on Clinical Notes. CoRR abs/2108.00513 (2021) - 2020
- [i19]Ping Wang, Khushbu Agarwal, Colby Ham, Sutanay Choudhury, Chandan K. Reddy:
Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks. CoRR abs/2007.11192 (2020) - [i18]Sai Pushpak Nandanoori, Soumya Kundu, Seemita Pal, Khushbu Agarwal, Sutanay Choudhury:
Model-Agnostic Algorithm for Real-Time Attack Identification in Power Grid using Koopman Modes. CoRR abs/2007.11717 (2020) - [i17]Sutanay Choudhury, Jenna A. Bilbrey, Logan T. Ward, Sotiris S. Xantheas, Ian T. Foster, Joseph P. Heindel, Ben Blaiszik, Marcus E. Schwarting:
HydroNet: Benchmark Tasks for Preserving Intermolecular Interactions and Structural Motifs in Predictive and Generative Models for Molecular Data. CoRR abs/2012.00131 (2020) - 2019
- [i16]Pin-Yu Chen, Sutanay Choudhury, Luke Rodriguez, Alfred O. Hero III, Indrajit Ray:
Enterprise Cyber Resiliency Against Lateral Movement: A Graph Theoretic Approach. CoRR abs/1905.01002 (2019) - [i15]Khushbu Agarwal, Tome Eftimov, Raghavendra Addanki, Sutanay Choudhury, Suzanne Tamang, Robert Rallo:
Snomed2Vec: Random Walk and Poincaré Embeddings of a Clinical Knowledge Base for Healthcare Analytics. CoRR abs/1907.08650 (2019) - 2018
- [i14]Cliff A. Joslyn, Michael Robinson, J. Smart, Khushbu Agarwal, David Bridgeland, Adam Brown, Sutanay Choudhury, Brett A. Jefferson, Brenda Praggastis, Emilie Purvine, William P. Smith, Dimitri Zarzhitsky:
HyperThesis: Topological Hypothesis Management in a Hypergraph Knowledgebase. TAC 2018 - [i13]Patrick Mackey, Katherine Porterfield, Erin Fitzhenry, Sutanay Choudhury, George Chin Jr.:
A Chronological Edge-Driven Approach to Temporal Subgraph Isomorphism. CoRR abs/1801.08098 (2018) - 2017
- [i12]Arun V. Sathanur, Sutanay Choudhury, Cliff A. Joslyn, Sumit Purohit:
When Labels Fall Short: Property Graph Simulation via Blending of Network Structure and Vertex Attributes. CoRR abs/1709.02339 (2017) - 2016
- [i11]Baichuan Zhang, Sutanay Choudhury, Mohammad Al Hasan, Xia Ning, Khushbu Agarwal, Sumit Purohit, Paola Gabriela Pesntez Cabrera:
Trust from the past: Bayesian Personalized Ranking based Link Prediction in Knowledge Graphs. CoRR abs/1601.03778 (2016) - [i10]Sutanay Choudhury, Khushbu Agarwal, Sumit Purohit, Baichuan Zhang, Meg Pirrung, William P. Smith, Mathew Thomas:
NOUS: Construction and Querying of Dynamic Knowledge Graphs. CoRR abs/1606.02314 (2016) - 2015
- [i9]Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., Khushbu Agarwal, John Feo:
A Selectivity based approach to Continuous Pattern Detection in Streaming Graphs. CoRR abs/1503.00849 (2015) - [i8]Pin-Yu Chen, Sutanay Choudhury, Alfred O. Hero III:
Multi-centrality Graph Spectral Decompositions and their Application to Cyber Intrusion Detection. CoRR abs/1512.07372 (2015) - 2014
- [i7]Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., Patrick Mackey, Khushbu Agarwal, John Feo:
Query Optimization for Dynamic Graphs. CoRR abs/1407.3745 (2014) - [i6]Sutanay Choudhury, Chase Dowling:
Benchmarking Named Entity Disambiguation approaches for Streaming Graphs. CoRR abs/1407.3751 (2014) - 2013
- [i5]Mahantesh Halappanavar, Sutanay Choudhury, Emilie Hogan, Peter Hui, John R. Johnson, Indrajit Ray, Lawrence B. Holder:
Towards a Networks-of-Networks Framework for Cyber Security. CoRR abs/1304.6761 (2013) - [i4]Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., John Feo:
Fast Search for Dynamic Multi-Relational Graphs. CoRR abs/1306.2459 (2013) - [i3]Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., Abhik Ray, Sherman Beus, John Feo:
StreamWorks - A system for Dynamic Graph Search. CoRR abs/1306.2460 (2013) - 2012
- [i2]Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., John Feo:
Large-scale continuous subgraph queries on streams. CoRR abs/1208.0055 (2012) - [i1]George Chin Jr., Andrès Márquez, Sutanay Choudhury, John Feo:
Scalable Triadic Analysis of Large-Scale Graphs: Multi-Core vs. Multi- Processor vs. Multi-Threaded Shared Memory Architectures. CoRR abs/1209.6308 (2012)
Coauthor Index
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