Venkatesh Srinivasan

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 61

Top Topics

Autism Spectrum Disorder

Hamiltonian Path

Dependency Structure

Top Venues

Publications

Keanelek Enns, Kazi Tabassum Ferdous, Sowmya Balasubramanian, Smita Ghosh, Venkatesh Srinivasan, Alex Thomo
Are brain networks classifiable? Netw. Model. Anal. Health Informatics Bioinform. 13 (1) (2024)
Hanieh Sadri, Venkatesh Srinivasan, Alex Thomo
Efficient Computation of K-Edge Connected Components: An Empirical Analysis. WAW (2024)
Michael Simpson, Venkatesh Srinivasan, Alex Thomo
Scalable Misinformation Mitigation in Social Networks Using Reverse Sampling. Comput. J. 66 (9) (2023)
Rahnuma Islam Nishat, Venkatesh Srinivasan, Sue Whitesides
1-Complex $s,t$ Hamiltonian Paths: Structure and Reconfiguration in Rectangular Grids. J. Graph Algorithms Appl. 27 (4) (2023)
Keanelek Enns, Venkatesh Srinivasan, Alex Thomo
Identifying Autism Spectrum Disorder Using Brain Networks: Challenges and Insights. IISA (2023)
Joseph Howie, Venkatesh Srinivasan, Alex Thomo
Scaling Up Structural Clustering to Large Probabilistic Graphs Using Lyapunov Central Limit Theorem. Proc. VLDB Endow. 16 (11) (2023)
Kazi Tabassum Ferdous, Sowmya Balasubramanian, Venkatesh Srinivasan, Alex Thomo
Brain network similarity using k-cores. ASONAM (2023)
Fatemeh Esfahani, Venkatesh Srinivasan, Alex Thomo, Kui Wu
Nucleus Decomposition in Probabilistic Graphs: Hardness and Algorithms. ICDE (2022)
Rahnuma Islam Nishat, Venkatesh Srinivasan, Sue Whitesides
The Hamiltonian Path Graph is Connected for Simple s, t Paths in Rectangular Grid Graphs. COCOON (2022)
Fatemeh Esfahani, Mahsa Daneshmand, Venkatesh Srinivasan, Alex Thomo, Kui Wu
Scalable probabilistic truss decomposition using central limit theorem and H-index. Distributed Parallel Databases 40 (2) (2022)
Yang Guo, Fatemeh Esfahani, Xiaojian Shao, Venkatesh Srinivasan, Alex Thomo, Li Xing, Xuekui Zhang
Integrative COVID-19 biological network inference with probabilistic core decomposition. Briefings Bioinform. 23 (1) (2022)
Mahdi Hajiabadi, Venkatesh Srinivasan, Alex Thomo
Dynamic Graph Summarization: Optimal and Scalable. Big Data (2022)
Rahnuma Islam Nishat, Venkatesh Srinivasan, Sue Whitesides
The Hamiltonian Path Graph is Connected for Simple s, t Paths in Rectangular Grid Graphs. CoRR (2022)
Sowmya Balasubramanian, Venkatesh Srinivasan, Alex Thomo
Identifying Important Features for Clinical Diagnosis of Thyroid Disorder. ASONAM (2022)
Xiaozhou Liu, Yudi Santoso, Venkatesh Srinivasan, Alex Thomo
Practical Survey on MapReduce Subgraph Enumeration Algorithms. EIDWT (2022)
Rahnuma Islam Nishat, Venkatesh Srinivasan, Sue Whitesides
1-Complex s, t Hamiltonian Paths: Structure and Reconfiguration in Rectangular Grids. WALCOM (2022)
Yudi Santoso, Xiaozhou Liu, Venkatesh Srinivasan, Alex Thomo
Four node graphlet and triad enumeration on distributed platforms. Distributed Parallel Databases 40 (2) (2022)
Paramvir Singh, Venkatesh Srinivasan, Alex Thomo
Fast and Scalable Triangle Counting in Graph Streams: The Hybrid Approach. AINA (2) (2021)
Anmol Mann, Venkatesh Srinivasan, Alex Thomo
Approximating 4-cliques in streaming graphs: the power of dual sampling. ASONAM (2021)
Mahdi Hajiabadi, Jasbir Singh, Venkatesh Srinivasan, Alex Thomo
Graph Summarization with Controlled Utility Loss. KDD (2021)
Yang Guo, Xuekui Zhang, Fatemeh Esfahani, Venkatesh Srinivasan, Alex Thomo, Li Xing
Multi-Stage Graph Peeling Algorithm for Probabilistic Core Decomposition. CoRR (2021)
Xiaozhou Liu, Yudi Santoso, Venkatesh Srinivasan, Alex Thomo
Distributed Enumeration of Four Node Graphlets at Quadrillion-Scale. SSDBM (2021)
Fatemeh Esfahani, Mahsa Daneshmand, Venkatesh Srinivasan, Alex Thomo, Kui Wu
Truss Decomposition on Large Probabilistic Networks using H-Index. SSDBM (2021)
Yang Guo, Xuekui Zhang, Fatemeh Esfahani, Venkatesh Srinivasan, Alex Thomo, Li Xing
Multi-stage graph peeling algorithm for probabilistic core decomposition. ASONAM (2021)
Quinton Yong, Mahdi Hajiabadi, Venkatesh Srinivasan, Alex Thomo
Efficient Graph Summarization using Weighted LSH at Billion-Scale. SIGMOD Conference (2021)
Mahdi Hajiabadi, Jasbir Singh, Venkatesh Srinivasan, Alex Thomo
Utility-Based Graph Summarization: New and Improved. CoRR (2020)
Yudi Santoso, Venkatesh Srinivasan, Alex Thomo
Efficient Enumeration of Four Node Graphlets at Trillion-Scale. EDBT (2020)
Fatemeh Esfahani, Venkatesh Srinivasan, Alex Thomo, Kui Wu
Nucleus Decomposition in Probabilistic Graphs: Hardness and Algorithms. CoRR (2020)
Kamel Alrashedy, Dhanush Dharmaretnam, Daniel M. Germán, Venkatesh Srinivasan, T. Aaron Gulliver
SCC++: Predicting the programming language of questions and snippets of Stack Overflow. J. Syst. Softw. 162 (2020)
Michael Simpson, Venkatesh Srinivasan, Alex Thomo
Reverse Prevention Sampling for Misinformation Mitigation in Social Networks. ICDT (2020)
Tengkai Yu, Venkatesh Srinivasan, Alex Thomo
Triangle Enumeration on Massive Graphs Using AWS Lambda Functions. INCoS (2020)
Daniel Xia, Michael Simpson, Venkatesh Srinivasan, Alex Thomo
Strongly Minimal MapReduce Algorithms: A TeraSort Case Study. FoIKS (2020)
Fatemeh Esfahani, Venkatesh Srinivasan, Alex Thomo, Kui Wu
Efficient Computation of Probabilistic Core Decomposition at Web-Scale. EDBT (2019)
Jian Wu, Venkatesh Srinivasan, Alex Thomo
Graph-XLL: a Graph Library for Extra Large Graph Analytics on a Single Machine. IISA (2019)
Fatemeh Esfahani, Jian Wu, Venkatesh Srinivasan, Alex Thomo, Kui Wu
Fast Truss Decomposition in Large-scale Probabilistic Graphs. EDBT (2019)
Khodakhast Bibak, Bruce M. Kapron, Venkatesh Srinivasan
A generalization of Schönemann's theorem via a graph theoretic method. Discret. Math. 342 (11) (2019)
Yudi Santoso, Alex Thomo, Venkatesh Srinivasan, Sean Chester
Triad Enumeration at Trillion-Scale Using a Single Commodity Machine. EDBT (2019)
Michael Simpson, Venkatesh Srinivasan, Alex Thomo
Scalable Misinformation Prevention in Social Networks. CoRR (2018)
Fang Dong, Kui Wu, Venkatesh Srinivasan
A New Dependence Model for Heterogeneous Markov Modulated Poisson Processes. Networking (2018)
Kamel Alreshedy, Dhanush Dharmaretnam, Daniel M. Germán, Venkatesh Srinivasan, T. Aaron Gulliver
SCC: Automatic Classification of Code Snippets. CoRR (2018)
Khodakhast Bibak, Bruce M. Kapron, Venkatesh Srinivasan
Unweighted linear congruences with distinct coordinates and the Varshamov-Tenengolts codes. Des. Codes Cryptogr. 86 (9) (2018)
Kamel Alreshedy, Dhanush Dharmaretnam, Daniel M. Germán, Venkatesh Srinivasan, T. Aaron Gulliver
Predicting the Programming Language of Questions and Snippets of StackOverflow Using Natural Language Processing. CoRR (2018)
Jian Wu, Alison Goshulak, Venkatesh Srinivasan, Alex Thomo
K-Truss Decomposition of Large Networks on a Single Consumer-Grade Machine. ASONAM (2018)
Kamel Alreshedy, Dhanush Dharmaretnam, Daniel M. Germán, Venkatesh Srinivasan, T. Aaron Gulliver
[Engineering Paper] SCC: Automatic Classification of Code Snippets. SCAM (2018)
Fang Dong, Kui Wu, Venkatesh Srinivasan
Copula Analysis of Temporal Dependence Structure in Markov Modulated Poisson Process and Its Applications. ACM Trans. Model. Perform. Evaluation Comput. Syst. 2 (3) (2017)
Babak Tootoonchi, Venkatesh Srinivasan, Alex Thomo
Efficient Implementation of Anchored 2-core Algorithm. ASONAM (2017)
Cheng Chen, Lan Zheng, Venkatesh Srinivasan, Alex Thomo, Kui Wu, Anthony Sukow
Conflict-Aware Weighted Bipartite b-Matching and Its Application to E-Commerce. ICDE (2017)
Khodakhast Bibak, Bruce M. Kapron, Venkatesh Srinivasan
A generalization of Schönemann's theorem via a graph theoretic method. CoRR (2017)
Fang Dong, Kui Wu, Venkatesh Srinivasan
Copula-based parameter estimation for Markov-modulated Poisson Process. IWQoS (2017)
Xin Hu, Fangming Liu, Venkatesh Srinivasan, Alex Thomo
-core Decomposition on Giraph and GraphChi. INCoS (2017)
Khodakhast Bibak, Bruce M. Kapron, Venkatesh Srinivasan
The Cayley Graphs Associated With Some Quasi-Perfect Lee Codes Are Ramanujan Graphs. IEEE Trans. Inf. Theory 62 (11) (2016)
Ben Kimmett, Alex Thomo, Venkatesh Srinivasan
Fuzzy joins in MapReduce: Edit and Jaccard distance. IISA (2016)
Mohammad Hajiabadi, Bruce M. Kapron, Venkatesh Srinivasan
On Generic Constructions of Circularly-Secure, Leakage-Resilient Public-Key Encryption Schemes. Public Key Cryptography (2) (2016)
Michael Simpson, Venkatesh Srinivasan, Alex Thomo
Efficient Computation of Feedback Arc Set at Web-Scale. Proc. VLDB Endow. 10 (3) (2016)
Khodakhast Bibak, Bruce M. Kapron, Venkatesh Srinivasan, László Tóth
On a variant of multilinear modular hashing with applications to authentication and secrecy codes. ISITA (2016)
Fang Dong, Kui Wu, Venkatesh Srinivasan, Jianping Wang
Copula Analysis of Latent Dependency Structure for Collaborative Auto-Scaling of Cloud Services. ICCCN (2016)
Cheng Chen, Lan Zheng, Venkatesh Srinivasan, Alex Thomo, Kui Wu, Anthony Sukow
Conflict-Aware Weighted Bipartite B-Matching and Its Application to E-Commerce. IEEE Trans. Knowl. Data Eng. 28 (6) (2016)
Khodakhast Bibak, Bruce M. Kapron, Venkatesh Srinivasan
with arbitrary modulus is always almost-universal. Inf. Process. Lett. 116 (7) (2016)
Cheng Chen, Sean Chester, Venkatesh Srinivasan, Kui Wu, Alex Thomo
Group-Aware Weighted Bipartite B-Matching. CIKM (2016)
Michael Simpson, Venkatesh Srinivasan, Alex Thomo
Clearing Contamination in Large Networks. IEEE Trans. Knowl. Data Eng. 28 (6) (2016)
Cheng Chen, Fang Dong, Kui Wu, Venkatesh Srinivasan, Alex Thomo
From Recommendation to Profile Inference (Rec2PI): A Value-added Service to Wi-Fi Data Mining. CIKM (2016)