Browsing byAuthorSrivastava, J

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Showing results 1 to 9 of 9
Issue DateTitleAuthor(s)
2021-01-01A Multi-task Kernel Learning Algorithm for Survival AnalysisMeng, Z; Xu, J; Li, Z; Wang, Y; Chen, F; Wang, Z; Karlapalem, K; Cheng, H; Ramakrishnan, N; Agrawal, RK; Reddy, PK; Srivastava, J; Chakraborty, T
2021-01-01Adaptive Graph Co-Attention Networks for Traffic ForecastingLi, B; Guo, T; Wang, Y; Gandomi, AH; Chen, F; Karlapalem, K; Cheng, H; Ramakrishnan, N; Agrawal, RK; Reddy, PK; Srivastava, J; Chakraborty, T
2011-01-01Agent-Based Subspace ClusteringLuo, C; Zhao, Y; Luo, D; Zhang, C; Cao, W; Huang, JZ; Cao, L; Srivastava, J
2021-01-01Heterogeneous Graph Attention Network for Small and Medium-Sized Enterprises Bankruptcy PredictionZheng, Y; Lee, VCS; Wu, Z; Pan, S; Karlapalem, K; Cheng, H; Ramakrishnan, N; Agrawal, RK; Reddy, PK; Srivastava, J; Chakraborty, T
2021-01-01Learning Discriminative Features Using Multi-label Dual SpaceBraytee, A; Liu, W; Karlapalem, K; Cheng, H; Ramakrishnan, N; Agrawal, RK; Reddy, PK; Srivastava, J; Chakraborty, T
2021-01-01Manifold Approximation and Projection by Maximizing Graph InformationFatemi, B; Molaei, S; Zare, H; Pan, S; Karlapalem, K; Cheng, H; Ramakrishnan, N; Agrawal, RK; Reddy, PK; Srivastava, J; Chakraborty, T
2013-01-01PrefaceCao, L; Motoda, H; Srivastava, J; Lim, EP; King, I; Yu, PS; Nejdl, W; Xu, G; Li, G; Zhang, Y
2011-01Self-adjust Local Connectivity Analysis for Spectral ClusteringWu, H; Qu, G; Zhu, X; Huang, JZ; Cao, L; Srivastava, J
2021-01-01Weak Supervision Network Embedding for Constrained Graph LearningGuo, T; Zhu, X; Wang, Y; Chen, F; Karlapalem, K; Cheng, H; Ramakrishnan, N; Agrawal, RK; Reddy, PK; Srivastava, J; Chakraborty, T