Anil Surisetty

According to our database, Anil Surisetty authored at least 5 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

DNN-GDITD: Out-of-distribution detection via Deep Neural Network based Gaussian Descriptor for Imbalanced Tabular Data.

Priyanka Chudasama, Anil Surisetty, Aakarsh Malhotra, Alok Singh

CoRR, 2024

CPa-WAC: Constellation Partitioning-based Scalable Weighted Aggregation Composition for Knowledge Graph Embedding.

Sudipta Modak, Aakarsh Malhotra, Sarthak Malik, Anil Surisetty, Esam Abdel-Raheem

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Study of Topology Bias in GNN-based Knowledge Graphs Algorithms.

Anil Surisetty, Aakarsh Malhotra, Deepak Chaurasiya, Sudipta Modak, Siddharth Yerramsetty, Alok Singh, Liyana Sahir, Esam Abdel-Raheem

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Entity Alignment For Knowledge Graphs: Progress, Challenges, and Empirical Studies.

Deepak Chaurasiya, Anil Surisetty, Nitish Kumar, Alok Singh, Vikrant Dey, Aakarsh Malhotra, Gaurav Dhama, Ankur Arora

CoRR, 2022

RePS: Relation, Position and Structure aware Entity Alignment.

Anil Surisetty, Deepak Chaurasiya, Nitish Kumar, Alok Singh, Gaurav Dhama, Aakarsh Malhotra, Ankur Arora, Vikrant Dey

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022