M. Narasimha Murty

Publication Activity (10 Years)

Years Active: 1980-2021
Publications (10 Years): 38

Top Venues

CoRR

ICPR

PAKDD (1)

IEEE BigData

Publications

Shyni Thomas, M. Narasimha Murty
Decentralised Approach for Multi Agent Path Finding. CoRR (2021)
Sambaran Bandyopadhyay, Manasvi Aggarwal, M. Narasimha Murty
A Deep Hybrid Pooling Architecture for Graph Classification with Hierarchical Attention. PAKDD (1) (2021)
Govind Sharma, Aditya Challa, Paarth Gupta, M. Narasimha Murty
Higher-Order Relations Skew Link Prediction in Graphs. CoRR (2021)
Govind Sharma, Swyam Prakash Singh, V. Susheela Devi, M. Narasimha Murty
The CAT SET on the MAT: Cross Attention for Set Matching in Bipartite Hypergraphs. CoRR (2021)
Sambaran Bandyopadhyay, Kishalay Das, M. Narasimha Murty
Line Hypergraph Convolution Network: Applying Graph Convolution for Hypergraphs. CoRR (2020)
Sambaran Bandyopadhyay, Manasvi Aggarwal, M. Narasimha Murty
Self-supervised Hierarchical Graph Neural Network for Graph Representation. IEEE BigData (2020)
Sambaran Bandyopadhyay, Saley Vishal Vivek, M. Narasimha Murty
Integrating Network Embedding and Community Outlier Detection via Multiclass Graph Description. ECAI (2020)
Sambaran Bandyopadhyay, Saley Vishal Vivek, M. Narasimha Murty
Integrating Network Embedding and Community Outlier Detection via Multiclass Graph Description. CoRR (2020)
Sambaran Bandyopadhyay, Lokesh N, Saley Vishal Vivek, M. Narasimha Murty
Outlier Resistant Unsupervised Deep Architectures for Attributed Network Embedding. WSDM (2020)
Shyni Thomas, Dipti Deodhare, M. Narasimha Murty
Multi Agent Path Finding with Awareness for Spatially Extended Agents. CoRR (2020)
Vijaikumar M, Shirish K. Shevade, M. Narasimha Murty
Neural Cross-Domain Collaborative Filtering with Shared Entities. ECML/PKDD (1) (2020)
M. Vijaikumar, Shirish K. Shevade, M. Narasimha Murty
GRAM-SMOT: Top-N Personalized Bundle Recommendation via Graph Attention Mechanism and Submodular Optimization. ECML/PKDD (3) (2020)
Sambaran Bandyopadhyay, Kishalay Das, M. Narasimha Murty
Hypergraph Attention Isomorphism Network by Learning Line Graph Expansion. IEEE BigData (2020)
Prasanna Patil, Govind Sharma, M. Narasimha Murty
Negative Sampling for Hyperlink Prediction in Networks. PAKDD (2) (2020)
Vijaikumar M, Shirish K. Shevade, M. Narasimha Murty
GAMMA: A Graph and Multi-view Memory Attention Mechanism for Top-N Heterogeneous Recommendation. PAKDD (1) (2020)
Govind Sharma, Prasanna Patil, M. Narasimha Murty
C3MM: Clique-Closure based Hyperlink Prediction. IJCAI (2020)
Sambaran Bandyopadhyay, Manasvi Aggarwal, M. Narasimha Murty
Robust Hierarchical Graph Classification with Subgraph Attention. CoRR (2020)
Sambaran Bandyopadhyay, Manasvi Aggarwal, M. Narasimha Murty
Unsupervised Graph Representation by Periphery and Hierarchical Information Maximization. CoRR (2020)
Sambaran Bandyopadhyay, N. Lokesh, M. Narasimha Murty
Outlier Aware Network Embedding for Attributed Networks. AAAI (2019)
Vijaikumar M, Shirish K. Shevade, M. Narasimha Murty
SoRecGAT: Leveraging Graph Attention Mechanism for Top-N Social Recommendation. ECML/PKDD (1) (2019)
Sambaran Bandyopadhyay, Anirban Biswas, M. Narasimha Murty, Ramasuri Narayanam
Beyond Node Embedding: A Direct Unsupervised Edge Representation Framework for Homogeneous Networks. CoRR (2019)
Vijaikumar M, Shirish K. Shevade, M. Narasimha Murty
TagEmbedSVD: Leveraging Tag Embeddings for Cross-Domain Collaborative Filtering. PReMI (2) (2019)
Vijaikumar M, Shirish K. Shevade, M. Narasimha Murty
Neural Cross-Domain Collaborative Filtering with Shared Entities. CoRR (2019)
Sharad Nandanwar, Aayush Moroney, M. Narasimha Murty
Fusing Diversity in Recommendations in Heterogeneous Information Networks. WSDM (2018)
Sharad Nandanwar, M. Narasimha Murty
Overlap-Robust Decision Boundary Learning for Within-Network Classification. AAAI (2018)
Sambaran Bandyopadhyay, Harsh Kara, Anirban Biswas, M. Narasimha Murty
SaC2Vec: Information Network Representation with Structure and Content. CoRR (2018)
Sambaran Bandyopadhyay, N. Lokesh, M. Narasimha Murty
Outlier Aware Network Embedding for Attributed Networks. CoRR (2018)
Sambaran Bandyopadhyay, Harsh Kara, Aswin Kannan, M. Narasimha Murty
FSCNMF: Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks. CoRR (2018)
Sambaran Bandyopadhyay, Ramasuri Narayanam, M. Narasimha Murty
A Generic Axiomatic Characterization for Measuring Influence in Social Networks. ICPR (2018)
Sambaran Bandyopadhyay, M. Narasimha Murty, Ramasuri Narayanam
A Generic Axiomatic Characterization of Centrality Measures in Social Network. CoRR (2017)
N. N. R. Ranga Suri, M. Narasimha Murty, Gopalasamy Athithan
Detecting outliers in categorical data through rough clustering. Nat. Comput. 15 (3) (2016)
Hari Seetha, M. Narasimha Murty, R. Saravanan
Classification by majority voting in feature partitions. Int. J. Inf. Decis. Sci. 8 (2) (2016)
Sambaran Bandyopadhyay, M. Narasimha Murty
Axioms to characterize efficient incremental clustering. ICPR (2016)
Sharad Nandanwar, M. Narasimha Murty
Structural Neighborhood Based Classification of Nodes in a Network. KDD (2016)
Anubhav Gupta, M. Narasimha Murty
Finding Influential Institutions in Bibliographic Information Networks. CoRR (2016)
Shyni Thomas, Dipti Deodhare, M. Narasimha Murty
Extended Conflict-Based Search for the Convoy Movement Problem. IEEE Intell. Syst. 30 (6) (2015)
Hari Seetha, M. Narasimha Murty, R. Saravanan
Effective feature selection technique for text classification. Int. J. Data Min. Model. Manag. 7 (3) (2015)
Soniya Rangnani, V. Susheela Devi, M. Narasimha Murty
Autoregressive Model for Users' Retweeting Profiles. SocInfo (2015)
Sneha Chaudhari, M. Narasimha Murty
Average Overlap for Clustering Incomplete Data Using Symmetric Non-negative Matrix Factorization. ICPR (2014)
N. N. R. Ranga Suri, M. Narasimha Murty, Gopalasamy Athithan
A ranking-based algorithm for detection of outliers in categorical data. Int. J. Hybrid Intell. Syst. 11 (1) (2014)
N. N. R. Ranga Suri, M. Narasimha Murty, Gopalasamy Athithan
Characterizing Temporal Anomalies in Evolving Networks. PAKDD (1) (2014)
Geetha Manjunath, M. Narasimha Murty, Dinkar Sitaram
Combining heterogeneous classifiers for relational databases. Pattern Recognit. 46 (1) (2013)
Vikas K. Garg, Y. Narahari, M. Narasimha Murty
Novel Biobjective Clustering (BiGC) Based on Cooperative Game Theory. IEEE Trans. Knowl. Data Eng. 25 (5) (2013)
Sreya Dey, M. Narasimha Murty
Using Discriminative Phrases for Text Categorization. ICONIP (2) (2013)
Punya Murthy Chinta, Balamurugan P., Shirish K. Shevade, M. Narasimha Murty
Optimizing F-measure with non-convex loss and sparse linear classifiers. IJCNN (2013)
Geetha Manjunath, M. Narasimha Murty, Dinkar Sitaram
Tasklets: enabling end user programming of web widgets. Int. J. Web Eng. Technol. 8 (3) (2013)
Karthik Nagesh, M. Narasimha Murty
Obtaining Single Document Summaries Using Latent Dirichlet Allocation. ICONIP (4) (2012)
N. N. R. Ranga Suri, M. Narasimha Murty, Gopalasamy Athithan
Unsupervised feature selection for outlier detection in categorical data using mutual information. HIS (2012)
N. N. R. Ranga Suri, M. Narasimha Murty, Gopalasamy Athithan
An algorithm for mining outliers in categorical data through ranking. HIS (2012)
Jyoti Ranjan Adhikary, M. Narasimha Murty
Feature Selection for Unsupervised Learning. ICONIP (3) (2012)
Punya Murthy Chinta, M. Narasimha Murty
Discriminative Feature Analysis and Selection for Document Classification. ICONIP (1) (2012)
D. M. V. Satya Sriram, Gaurav Pandey, Debarghya Ghoshdastidar, Ambedkar Dukkipati, M. Narasimha Murty
Maximum Entropy with Maximum J-Divergence Discrimination for Text Classification CoRR (2012)
Deepak Gujraniya, M. Narasimha Murty
Efficient classification using phrases generated by topic models. ICPR (2012)
Sharad Nandanwar, M. Narasimha Murty
A Regularized Linear Classifier for Effective Text Classification. ICONIP (2) (2012)
Arghya Roy Chaudhuri, M. Narasimha Murty
On the relation between K-means and PLSA. ICPR (2012)
Vinod Jadhao, M. Narasimha Murty
Hybrid Online Non-negative Matrix Factorization for Clustering of Documents. ICONIP (1) (2012)
Govind Sharma, M. Narasimha Murty
Mining Sentiments from Songs Using Latent Dirichlet Allocation. IDA (2011)
I. Sathish Reddy, Shirish K. Shevade, M. Narasimha Murty
A fast quasi-Newton method for semi-supervised SVM. Pattern Recognit. 44 (10-11) (2011)
T. Ravindra Babu, M. Narasimha Murty, S. V. Subrahmanya
Multiagent Based Large Data Clustering Scheme for Data Mining Applications. AMT (2010)
Radha Chitta, M. Narasimha Murty
Two-level k-means clustering algorithm for k-tau relationship establishment and linear-time classification. Pattern Recognit. 43 (3) (2010)
R. Arun, V. Suresh, C. E. Veni Madhavan, M. Narasimha Murty
On Finding the Natural Number of Topics with Latent Dirichlet Allocation: Some Observations. PAKDD (1) (2010)
Vikas K. Garg, M. Narasimha Murty
EPIC: Efficient Integration of Partitional Clustering Algorithms for Classification. SEAL (2010)
Ambedkar Dukkipati, Abhay Kumar Yadav, M. Narasimha Murty
Maximum Entropy Model Based Classification with Feature Selection. ICPR (2010)
Geetha Manjunath, M. Narasimha Murty, Dinkar Sitaram
A Practical Heterogeneous Classifier for Relational Databases. ICPR (2010)
Vikas K. Garg, M. Narasimha Murty
RACK: RApid clustering using K-means algorithm. CASE (2009)
Biswajit Paul, Gopalasamy Athithan, M. Narasimha Murty
Speeding up AdaBoost Classifier with Random Projection. ICAPR (2009)
Vikas K. Garg, M. Narasimha Murty
Feature subspace SVMs (FS-SVMs) for high dimensional handwritten digit recognition. Int. J. Data Min. Model. Manag. 1 (4) (2009)
B. N. Ranganath, M. Narasimha Murty
Stream-Close: Fast Mining of Closed Frequent Itemsets in High Speed Data Streams. ICDM Workshops (2008)
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agrawal
Classification of run-length encoded binary data. Pattern Recognit. 40 (1) (2007)
Seshikanth Varma, S. Asharaf, M. Narasimha Murty
Core Vector Clustering. IICAI (2007)
Dipti Deodhare, M. Vidyasagar, M. Narasimha Murty
A Unified Approach to Encoding and Classification Using Bimodal Projection-Based Features. ICCTA (2007)
S. Asharaf, M. Narasimha Murty, Shirish K. Shevade
Cluster Based Training for Scaling Non-linear Support Vector Machines. ICCTA (2007)
S. Asharaf, M. Narasimha Murty, Shirish K. Shevade
Multiclass core vector machine. ICML (2007)
Ambedkar Dukkipati, Shalabh Bhatnagar, M. Narasimha Murty
Gelfand-Yaglom-Perez theorem for generalized relative entropy functionals. Inf. Sci. 177 (24) (2007)
Ramasuri Narayanam, V. Santosh Srinivas, M. Narasimha Murty
A Cooperative Game Theoretic Approach to Prototype Selection. PKDD (2007)
A. P. Yogananda, M. Narasimha Murty, Lakshmi Gopal
A fast linear separability test by projection of positive points on subspaces. ICML (2007)
Laxmi Kankanala, M. Narasimha Murty
Hybrid Approaches for Clustering. PReMI (2007)
Rashmin Babaria, J. Saketha Nath, S. Krishnan, K. R. Sivaramakrishnan, Chiranjib Bhattacharyya, M. Narasimha Murty
Focused crawling with scalable ordinal regression solvers. ICML (2007)
Seshikanth Varma, S. Asharaf, M. Narasimha Murty
Rough Core Vector Clustering. PReMI (2007)
Dipti Deodhare, M. Vidyasagar, M. Narasimha Murty
Bimodal Projection-based Features for Pattern Classification. IJCNN (2006)
P. A. Vijaya, M. Narasimha Murty, D. K. Subramanian
Efficient bottom-up hybrid hierarchical clustering techniques for protein sequence classification. Pattern Recognit. 39 (12) (2006)
J. Saketha Nath, Chiranjib Bhattacharyya, M. Narasimha Murty
Clustering based large margin classification: a scalable approach using SOCP formulation. KDD (2006)
S. Asharaf, M. Narasimha Murty
Scalable non-linear Support Vector Machine using hierarchical clustering. ICPR (1) (2006)
S. Asharaf, M. Narasimha Murty, Shirish K. Shevade
Rough set based incremental clustering of interval data. Pattern Recognit. Lett. 27 (6) (2006)
Asharaf S., M. Narasimha Murty, Shirish K. Shevade
Cluster Based Core Vector Machine. ICDM (2006)
P. Viswanath, M. Narasimha Murty, Shalabh Bhatnagar
Partition based pattern synthesis technique with efficient algorithms for nearest neighbor classification. Pattern Recognit. Lett. 27 (14) (2006)
Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar
On Measure Theoretic definitions of Generalized Information Measures and Maximum Entropy Prescriptions CoRR (2006)
P. A. Vijaya, M. Narasimha Murty, D. K. Subramanian
Efficient median based clustering and classification techniques for protein sequences. Pattern Anal. Appl. 9 (2-3) (2006)
P. Viswanath, M. Narasimha Murty, Satish Kambala
An Efficient Parzen-Window Based Network Intrusion Detector Using a Pattern Synthesis Technique. PReMI (2005)
S. Asharaf, Shirish K. Shevade, M. Narasimha Murty
Rough support vector clustering. Pattern Recognit. 38 (10) (2005)
Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar
Uniqueness of Nonextensive entropy under Renyi's Recipe CoRR (2005)
Monu Agrawal, Neha Gupta, R. Shreelekshmi, M. Narasimha Murty
Efficient pattern synthesis for nearest neighbour classifier. Pattern Recognit. 38 (11) (2005)
Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar
Information theoretic justification of Boltzmann selection and its generalization to Tsallis case. Congress on Evolutionary Computation (2005)
P. A. Vijaya, M. Narasimha Murty, D. K. Subramanian
Analysis of Leader based Clustering Algorithms for Pattern Classification. IICAI (2005)
P. Viswanath, M. Narasimha Murty, Shalabh Bhatnagar
Overlap pattern synthesis with an efficient nearest neighbor classifier. Pattern Recognit. 38 (8) (2005)
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agrawal
On Simultaneous Selection of Prototypes and Features in Large Data. PReMI (2005)
P. A. Vijaya, M. Narasimha Murty, D. K. Subramanian
An Efficient Hybrid Hierarchical Agglomerative Clustering (HHAC) Technique for Partitioning Large Data Sets. PReMI (2005)
P. Viswanath, M. Narasimha Murty, Shalabh Bhatnagar
Fusion of multiple approximate nearest neighbor classifiers for fast and efficient classification. Inf. Fusion 5 (4) (2004)
Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar
Cauchy annealing schedule: an annealing schedule for Boltzmann selection scheme in evolutionary algorithms. IEEE Congress on Evolutionary Computation (2004)
P. A. Vijaya, M. Narasimha Murty, D. K. Subramanian
Leaders - Subleaders: An efficient hierarchical clustering algorithm for large data sets. Pattern Recognit. Lett. 25 (4) (2004)

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Publication Activity (10 Years)

Top Topics

Top Venues

M. Narasimha Murty