3 citations · 3 across the 4 of their papers we have counts for
6 papers
X2Graph for Cancer Subtyping Prediction on Biological Tabular Data
Tu Bui, Mohamed Suliman, Aparajita Haldar +2
Despite the transformative impact of deep learning on text, audio, and image datasets, its dominance in tabular data, especially in the medical domain where data are often scarce,…
D3-GNN: Dynamic Distributed Dataflow for Streaming Graph Neural Networks
Rustam Guliyev, Aparajita Haldar, Hakan Ferhatosmanoglu
Graph Neural Network (GNN) models on streaming graphs entail algorithmic challenges to continuously capture its dynamic state, as well as systems challenges to optimize latency, me…
Temporal Cascade Model for Analyzing Spread in Evolving Networks with Disease Monitoring Applications
Aparajita Haldar, Shuang Wang, Gunduz Demirci +2
Current approaches for modeling propagation in networks (e.g., spread of disease) are unable to adequately capture temporal properties of the data such as order and duration of evo…
Characterizing the impact of geometric properties of word embeddings on task performance
Brendan Whitaker, Denis Newman-Griffis, Aparajita Haldar +2
Analysis of word embedding properties to inform their use in downstream NLP tasks has largely been studied by assessing nearest neighbors. However, geometric properties of the cont…
Hypothesis Only Baselines in Natural Language Inference
Adam Poliak, Jason Naradowsky, Aparajita Haldar +2
We propose a hypothesis only baseline for diagnosing Natural Language Inference (NLI). Especially when an NLI dataset assumes inference is occurring based purely on the relationshi…
Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation
Adam Poliak, Aparajita Haldar, Rachel Rudinger +4
We present a large-scale collection of diverse natural language inference (NLI) datasets that help provide insight into how well a sentence representation captures distinct types o…