480 results on '"Ambuj K Singh"'
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52. Group Centrality Maximization via Network Design.
53. A Distance Measure for the Analysis of Polar Opinion Dynamics in Social Networks.
54. Structural balance emerges and explains performance in risky decision-making
55. POLE: Polarized Embedding for Signed Networks.
56. Event Detection on Dynamic Graphs.
57. Modeling the Co-evolution of Committee Formation and Awareness Networks in Organizations.
58. A Distance Measure for the Analysis of Polar Opinion Dynamics in Social Networks.
59. GPOP: Scalable Group-level Popularity Prediction for Online Content in Social Networks.
60. Predictive modeling and scalability analysis for large graph analytics.
61. Subnetwork Mining with Spatial and Temporal Smoothness.
62. DeepMap: Learning Deep Representations for Graph Classification.
63. Expertise and confidence explain how social influence evolves along intellective tasks.
64. Incorporating User's Preference into Attributed Graph Clustering.
65. Tree++: Truncated Tree Based Graph Kernels.
66. Spatial coherence of oriented white matter microstructure: Applications to white matter regions associated with genetic similarity.
67. Noticeable Network Delay Minimization via Node Upgrades.
68. Making a Small World Smaller: Path Optimization in Networks.
69. Graph Wavelets via Sparse Cuts.
70. FCCF: forecasting citywide crowd flows based on big data.
71. Towards Scalable Network Delay Minimization.
72. Outlier Detection from Network Data with Subnetwork Interpretation.
73. Topology design under adversarial dynamics.
74. Topology Design Games and Dynamics in Adversarial Environments.
75. Polar Opinion Dynamics in Social Networks.
76. Learning Heuristics over Large Graphs via Deep Reinforcement Learning.
77. K-Core Minimization: A Game Theoretic Approach.
78. Estimating localized complexity of white-matter wiring with GANs.
79. Influence Minimization Under Budget and Matroid Constraints: Extended Version.
80. Hierarchical in-network attribute compression via importance sampling.
81. Beyond Models: Forecasting Complex Network Processes Directly from Data.
82. Learning Predictive Substructures with Regularization for Network Data.
83. Nearest Keyword Set Search in Multi-Dimensional Datasets.
84. Cloud service placement via subgraph matching.
85. Towards scalable critical alert mining.
86. Structure and evolution of missed collaborations in large networks.
87. Discriminative Subnetworks with Regularized Spectral Learning for Global-State Network Data.
88. Answering top-k representative queries on graph databases.
89. On Critical Event Observability Using Social Networks: A Disaster Monitoring Perspective.
90. Behavior Query Discovery in System-Generated Temporal Graphs.
91. Efficient tracking and querying for coordinated uncertain mobile objects.
92. Mining discriminative subgraphs from global-state networks.
93. Mining Evolving Network Processes.
94. Accurate and scalable nearest neighbors in large networks based on effective importance.
95. As Strong as the Weakest Link: Mining Diverse Cliques in Weighted Graphs.
96. The social media genome: modeling individual topic-specific behavior in social media.
97. I act, therefore I judge: network sentiment dynamics based on user activity change.
98. NetSpot: Spotting Significant Anomalous Regions on Dynamic Networks.
99. SIMP: accurate and efficient near neighbor search in high dimensional spaces.
100. Indexing and mining topological patterns for drug discovery.
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