Aparajita Haldar

According to our database, Aparajita Haldar authored at least 16 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

X2Graph for Cancer Subtyping Prediction on Biological Tabular Data.

Tu Bui, Mohamed Suliman, Aparajita Haldar, Mohammed Amer, Serban Georgescu

CoRR, May, 2025

2024

D3-GNN: Dynamic Distributed Dataflow for Streaming Graph Neural Networks.

Rustam Guliyev, Aparajita Haldar, Hakan Ferhatosmanoglu

Proc. VLDB Endow., July, 2024

2023

Temporal Cascade Model for Analyzing Spread in Evolving Networks.

Aparajita Haldar, Shuang Wang, Gunduz Vehbi Demirci, Joe Oakley, Hakan Ferhatosmanoglu

ACM Trans. Spatial Algorithms Syst., June, 2023

2022

Hypergraph-based optimisations for scalable graph analytics and learning.

Aparajita Haldar

PhD thesis, 2022

RoleSim*: Scaling axiomatic role-based similarity ranking on large graphs.

Weiren Yu, Sima Iranmanesh, Aparajita Haldar, Maoyin Zhang, Hakan Ferhatosmanoglu

World Wide Web, 2022

Scalable Graph Convolutional Network Training on Distributed-Memory Systems.

Gunduz Vehbi Demirci, Aparajita Haldar, Hakan Ferhatosmanoglu

Proc. VLDB Endow., 2022

Temporal Cascade Model for Analyzing Spread in Evolving Networks with Disease Monitoring Applications.

Aparajita Haldar, Shuang Wang, Gunduz Vehbi Demirci, Joe Oakley, Hakan Ferhatosmanoglu

CoRR, 2022

RAGUEL: Recourse-Aware Group Unfairness Elimination.

Aparajita Haldar, Teddy Cunningham, Hakan Ferhatosmanoglu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2020

An Axiomatic Role Similarity Measure Based on Graph Topology.

Weiren Yu, Sima Iranmanesh, Aparajita Haldar, Maoyin Zhang, Hakan Ferhatosmanoglu

Proceedings of the Software Foundations for Data Interoperability and Large Scale Graph Data Analytics, 2020

Variational Recurrent Sequence-to-Sequence Retrieval for Stepwise Illustration.

Vishwash Batra, Aparajita Haldar, Yulan He, Hakan Ferhatosmanoglu, George Vogiatzis, Tanaya Guha

Proceedings of the Advances in Information Retrieval, 2020

2019

Characterizing the impact of geometric properties of word embeddings on task performance.

Brendan Whitaker, Denis Newman-Griffis, Aparajita Haldar, Hakan Ferhatosmanoglu, Eric Fosler-Lussier

CoRR, 2019

2018

Towards a Unified Natural Language Inference Framework to Evaluate Sentence Representations.

Adam Poliak, Aparajita Haldar, Rachel Rudinger, J. Edward Hu, Ellie Pavlick, Aaron Steven White, Benjamin Van Durme

CoRR, 2018

Hypothesis Only Baselines in Natural Language Inference.

Adam Poliak, Jason Naradowsky, Aparajita Haldar, Rachel Rudinger, Benjamin Van Durme

Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics, 2018

Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation.

Adam Poliak, Aparajita Haldar, Rachel Rudinger, J. Edward Hu, Ellie Pavlick, Aaron Steven White, Benjamin Van Durme

Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018

2017

Multimodal transit scheduler: An actor-based concurrent approach.

Prasad Talasila, Aparajita Haldar, Suhas S. Pai, Neena Goveas, Bharat M. Deshpande

Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

EEG-based classification of bilingual unspoken speech using ANN.

Advait Balaji, Aparajita Haldar, Keshav Patil, Sai Ruthvik Thandayam, C. A. Valliappan, Mayur Jartarkar, Veeky Baths

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017