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Books and Theses
- 2022
[b1]Aparajita Haldar:
Hypergraph-based optimisations for scalable graph analytics and learning. University of Warwick, Coventry, UK, 2022
Journal Articles
- 2024
- [j4]Rustam Guliyev, Aparajita Haldar, Hakan Ferhatosmanoglu:
D3-GNN: Dynamic Distributed Dataflow for Streaming Graph Neural Networks. Proc. VLDB Endow. 17(11): 2764-2777 (2024) - 2023
- [j3]Aparajita Haldar
, Shuang Wang, Gunduz Vehbi Demirci, Joe Oakley, Hakan Ferhatosmanoglu:
Temporal Cascade Model for Analyzing Spread in Evolving Networks. ACM Trans. Spatial Algorithms Syst. 9(2): 12:1-12:30 (2023) - 2022
- [j2]Gunduz Vehbi Demirci, Aparajita Haldar, Hakan Ferhatosmanoglu:
Scalable Graph Convolutional Network Training on Distributed-Memory Systems. Proc. VLDB Endow. 16(4): 711-724 (2022) - [j1]Weiren Yu, Sima Iranmanesh, Aparajita Haldar, Maoyin Zhang, Hakan Ferhatosmanoglu:
RoleSim*: Scaling axiomatic role-based similarity ranking on large graphs. World Wide Web 25(2): 785-829 (2022)
Conference and Workshop Papers
- 2022
- [c8]Aparajita Haldar, Teddy Cunningham, Hakan Ferhatosmanoglu:
RAGUEL: Recourse-Aware Group Unfairness Elimination. CIKM 2022: 666-675 - 2020
- [c7]Vishwash Batra, Aparajita Haldar, Yulan He, Hakan Ferhatosmanoglu, George Vogiatzis, Tanaya Guha:
Variational Recurrent Sequence-to-Sequence Retrieval for Stepwise Illustration. ECIR (1) 2020: 50-64 - [c6]Weiren Yu, Sima Iranmanesh, Aparajita Haldar, Maoyin Zhang, Hakan Ferhatosmanoglu:
An Axiomatic Role Similarity Measure Based on Graph Topology. SFDI/LSGDA@VLDB 2020: 33-48 - 2018
- [c5]Adam Poliak, Aparajita Haldar, Rachel Rudinger, J. Edward Hu, Ellie Pavlick, Aaron Steven White, Benjamin Van Durme:
Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation. EMNLP 2018: 67-81 - [c4]Adam Poliak, Aparajita Haldar, Rachel Rudinger, J. Edward Hu, Ellie Pavlick, Aaron Steven White, Benjamin Van Durme:
Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation. BlackboxNLP@EMNLP 2018: 337-340 - [c3]Adam Poliak, Jason Naradowsky, Aparajita Haldar, Rachel Rudinger, Benjamin Van Durme:
Hypothesis Only Baselines in Natural Language Inference. *SEM@NAACL-HLT 2018: 180-191 - 2017
- [c2]Advait Balaji, Aparajita Haldar, Keshav Patil, Sai Ruthvik Thandayam, C. A. Valliappan, Mayur Jartarkar, Veeky Baths:
EEG-based classification of bilingual unspoken speech using ANN. EMBC 2017: 1022-1025 - [c1]Prasad Talasila, Aparajita Haldar, Suhas S. Pai, Neena Goveas, Bharat M. Deshpande:
Multimodal transit scheduler: An actor-based concurrent approach. ITSC 2017: 1-6
Informal and Other Publications
- 2024
- [i7]Rustam Guliyev, Aparajita Haldar, Hakan Ferhatosmanoglu:
D3-GNN: Dynamic Distributed Dataflow for Streaming Graph Neural Networks. CoRR abs/2409.09079 (2024) - 2022
- [i6]Aparajita Haldar, Shuang Wang, Gunduz Vehbi Demirci, Joe Oakley, Hakan Ferhatosmanoglu:
Temporal Cascade Model for Analyzing Spread in Evolving Networks with Disease Monitoring Applications. CoRR abs/2203.14925 (2022) - [i5]Aparajita Haldar, Teddy Cunningham, Hakan Ferhatosmanoglu:
RAGUEL: Recourse-Aware Group Unfairness Elimination. CoRR abs/2208.14175 (2022) - [i4]Gunduz Vehbi Demirci, Aparajita Haldar, Hakan Ferhatosmanoglu:
Scalable Graph Convolutional Network Training on Distributed-Memory Systems. CoRR abs/2212.05009 (2022) - 2019
- [i3]Brendan Whitaker, Denis Newman-Griffis, Aparajita Haldar, Hakan Ferhatosmanoglu, Eric Fosler-Lussier:
Characterizing the impact of geometric properties of word embeddings on task performance. CoRR abs/1904.04866 (2019) - 2018
- [i2]Adam Poliak, Aparajita Haldar, Rachel Rudinger, J. Edward Hu, Ellie Pavlick, Aaron Steven White, Benjamin Van Durme:
Towards a Unified Natural Language Inference Framework to Evaluate Sentence Representations. CoRR abs/1804.08207 (2018) - [i1]Adam Poliak, Jason Naradowsky, Aparajita Haldar, Rachel Rudinger, Benjamin Van Durme:
Hypothesis Only Baselines in Natural Language Inference. CoRR abs/1805.01042 (2018)
Coauthor Index
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