Anoushka Harit
Orcid: 0000-0002-8185-4790
According to our database1,
Anoushka Harit
authored at least 18 papers
between 2021 and 2025.
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Bibliography
2025
RicciFlowRec: A Geometric Root Cause Recommender Using Ricci Curvature on Financial Graphs.
CoRR, August, 2025
GLANCE: Graph Logic Attention Network with Cluster Enhancement for Heterophilous Graph Representation Learning.
CoRR, July, 2025
CoRR, July, 2025
CoRR, June, 2025
Actionable Interpretability via Causal Hypergraphs: Unravelling Batch Size Effects in Deep Learning.
CoRR, June, 2025
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
2024
Proceedings of the 3rd International Workshop on Natural Language Processing for Knowledge Graph Creation co-located with 20th International Conference on Semantic Systems (SEMANTiCS 2024), 2024
2023
Language as a latent sequence: Deep latent variable models for semi-supervised paraphrase generation.
AI Open, January, 2023
MONEY: Ensemble learning for stock price movement prediction via a convolutional network with adversarial hypergraph model.
AI Open, January, 2023
A Rewiring Contrastive Patch PerformerMixer Framework for Graph Representation Learning.
Proceedings of the IEEE International Conference on Big Data, 2023
2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Contrastive Learning with Heterogeneous Graph Attention Networks on Short Text Classification.
Proceedings of the International Joint Conference on Neural Networks, 2022
Is Unimodal Bias Always Bad for Visual Question Answering? A Medical Domain Study with Dynamic Attention.
Proceedings of the IEEE International Conference on Big Data, 2022
2021
Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums.
Proceedings of the Intelligent Tutoring Systems - 17th International Conference, 2021
Proceedings of the Intelligent Tutoring Systems - 17th International Conference, 2021
A Generative Bayesian Graph Attention Network for Semi-Supervised Classification on Scarce Data.
Proceedings of the International Joint Conference on Neural Networks, 2021