Nourhan Ahmed

According to our database, Nourhan Ahmed authored at least 10 papers between 2019 and 2026.

Collaborative distances:

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

2026

From Missing to Meaningful: Learning Dependencies in Networked Time Series with Graphs and Generative Models.

Nourhan Ahmed

PhD thesis, 2026

2025

Motif-aware Graph Neural Networks for Networked Time Series Imputation.

Nourhan Ahmed, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Structure-aware decoupled imputation network for multivariate time series.

Nourhan Ahmed, Lars Schmidt-Thieme

Data Min. Knowl. Discov., May, 2024

Learning attentive attribute-aware node embeddings in dynamic environments.

Nourhan Ahmed, Ahmed Rashed, Lars Schmidt-Thieme

Int. J. Data Sci. Anal., March, 2024

Deep Learning-Based Prediction of Daily COVID-19 Cases Using X (Twitter) Data.

Nourhan Ahmed, Sharareh Rostam Niakan Kalhori, Thomas M. Deserno

Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024

GraFITi: Graphs for Forecasting Irregularly Sampled Time Series.

Vijaya Krishna Yalavarthi, Kiran Madhusudhanan, Randolf Scholz, Nourhan Ahmed, Johannes Burchert, Shayan Jawed, Stefan Born, Lars Schmidt-Thieme

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Forecasting Irregularly Sampled Time Series using Graphs.

Vijaya Krishna Yalavarthi, Kiran Madusudanan, Randolf Scholz, Nourhan Ahmed, Johannes Burchert, Shayan Jawed, Stefan Born, Lars Schmidt-Thieme

CoRR, 2023

Sparse Self-Attention Guided Generative Adversarial Networks for Time-Series Generation.

Nourhan Ahmed, Lars Schmidt-Thieme

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

2019

The Community Participation in the Design Process of Livable Streets.

Nourhan Ahmed, Abeer Elshater, Samy Afifi

Proceedings of the Innovations and Interdisciplinary Solutions for Underserved Areas, 2019

Seizure Prediction & Segmentation Merge Yielding a Boosted Low Power Model.

Ingy Alaa, Nourhan Ahmed, Mostafa Nader, Abdelrahman Magdy, Mohamed Ibrahim, Michael Khalil, Michael H. Zakhari, Hassan Mostafa

Proceedings of the 31st International Conference on Microelectronics, 2019