315 results on '"M. Narasimha Murty"'
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2. Integrating Network Embedding and Community Outlier Detection via Multiclass Graph Description.
3. GAMMA: A Graph and Multi-view Memory Attention Mechanism for Top-N Heterogeneous Recommendation.
4. Negative Sampling for Hyperlink Prediction in Networks.
5. C3MM: Clique-Closure based Hyperlink Prediction.
6. Hypergraph Attention Isomorphism Network by Learning Line Graph Expansion.
7. Self-supervised Hierarchical Graph Neural Network for Graph Representation.
8. Outlier Resistant Unsupervised Deep Architectures for Attributed Network Embedding.
9. Neural Cross-Domain Collaborative Filtering with Shared Entities.
10. GRAM-SMOT: Top-N Personalized Bundle Recommendation via Graph Attention Mechanism and Submodular Optimization.
11. TagEmbedSVD: Leveraging Tag Embeddings for Cross-Domain Collaborative Filtering.
12. SoRecGAT: Leveraging Graph Attention Mechanism for Top-N Social Recommendation.
13. Outlier Aware Network Embedding for Attributed Networks.
14. Outlier Detection: Techniques and Applications - A Data Mining Perspective
15. A Generic Axiomatic Characterization for Measuring Influence in Social Networks.
16. Fusing Diversity in Recommendations in Heterogeneous Information Networks.
17. Overlap-Robust Decision Boundary Learning for Within-Network Classification.
18. Higher-Order Relations Skew Link Prediction in Graphs.
19. Decentralised Approach for Multi Agent Path Finding.
20. The CAT SET on the MAT: Cross Attention for Set Matching in Bipartite Hypergraphs.
21. Line Hypergraph Convolution Network: Applying Graph Convolution for Hypergraphs.
22. Unsupervised Graph Representation by Periphery and Hierarchical Information Maximization.
23. Multi Agent Path Finding with Awareness for Spatially Extended Agents.
24. Robust Hierarchical Graph Classification with Subgraph Attention.
25. Structural Neighborhood Based Classification of Nodes in a Network.
26. Axioms to characterize efficient incremental clustering.
27. Beyond Node Embedding: A Direct Unsupervised Edge Representation Framework for Homogeneous Networks.
28. Neural Cross-Domain Collaborative Filtering with Shared Entities.
29. Autoregressive Model for Users' Retweeting Profiles.
30. Detecting outliers in categorical data through rough clustering.
31. Classification by majority voting in feature partitions.
32. Characterizing Temporal Anomalies in Evolving Networks.
33. Average Overlap for Clustering Incomplete Data Using Symmetric Non-negative Matrix Factorization.
34. Outlier Aware Network Embedding for Attributed Networks.
35. FSCNMF: Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks.
36. SaC2Vec: Information Network Representation with Structure and Content.
37. Extended Conflict-Based Search for the Convoy Movement Problem.
38. Effective feature selection technique for text classification.
39. Using Discriminative Phrases for Text Categorization.
40. Optimizing F-measure with non-convex loss and sparse linear classifiers.
41. Compression Schemes for Mining Large Datasets - A Machine Learning Perspective
42. Feature Selection for Unsupervised Learning.
43. Hybrid Online Non-negative Matrix Factorization for Clustering of Documents.
44. A Regularized Linear Classifier for Effective Text Classification.
45. Obtaining Single Document Summaries Using Latent Dirichlet Allocation.
46. Discriminative Feature Analysis and Selection for Document Classification.
47. Efficient classification using phrases generated by topic models.
48. On the relation between K-means and PLSA.
49. An algorithm for mining outliers in categorical data through ranking.
50. Unsupervised feature selection for outlier detection in categorical data using mutual information.
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