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Anil Surisetty
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2020 – today
- 2024
- [c3]Sudipta Modak, Aakarsh Malhotra, Sarthak Malik, Anil Surisetty, Esam Abdel-Raheem:
CPa-WAC: Constellation Partitioning-based Scalable Weighted Aggregation Composition for Knowledge Graph Embedding. IJCAI 2024: 3504-3512 - [i2]Priyanka Chudasama, Anil Surisetty, Aakarsh Malhotra, Alok Singh:
DNN-GDITD: Out-of-distribution detection via Deep Neural Network based Gaussian Descriptor for Imbalanced Tabular Data. CoRR abs/2409.00980 (2024) - 2023
- [c2]Anil Surisetty, Aakarsh Malhotra, Deepak Chaurasiya, Sudipta Modak, Siddharth Yerramsetty, Alok Singh, Liyana Sahir, Esam Abdel-Raheem:
Study of Topology Bias in GNN-based Knowledge Graphs Algorithms. ICDM (Workshops) 2023: 1149-1156 - 2022
- [c1]Anil Surisetty, Deepak Chaurasiya, Nitish Kumar, Alok Singh, Gaurav Dhama, Aakarsh Malhotra, Ankur Arora, Vikrant Dey:
RePS: Relation, Position and Structure aware Entity Alignment. WWW (Companion Volume) 2022: 1083-1091 - [i1]Deepak Chaurasiya, Anil Surisetty, Nitish Kumar, Alok Singh, Vikrant Dey, Aakarsh Malhotra, Gaurav Dhama, Ankur Arora:
Entity Alignment For Knowledge Graphs: Progress, Challenges, and Empirical Studies. CoRR abs/2205.08777 (2022)
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last updated on 2024-10-21 21:32 CEST by the dblp team
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