88 citations · 126 across the 18 of their papers we have counts for
4 papers · 1 filter
Are Data Embeddings effective in time series forecasting?
Reza Nematirad, Anil Pahwa, Balasubramaniam Natarajan
Time series forecasting plays a crucial role in many real-world applications, and numerous complex forecasting models have been proposed in recent years. Despite their architectura…
Times2D: Multi-Period Decomposition and Derivative Mapping for General Time Series Forecasting
Reza Nematirad, Anil Pahwa, Balasubramaniam Natarajan
Time series forecasting is an important application in various domains such as energy management, traffic planning, financial markets, meteorology, and medicine. However, real-time…
GNN-Based Candidate Node Predictor for Influence Maximization in Temporal Graphs
Priyanka Gautam, Balasubramaniam Natarajan, Sai Munikoti +2
In an age where information spreads rapidly across social media, effectively identifying influential nodes in dynamic networks is critical. Traditional influence maximization strat…
SPDNet: Seasonal-Periodic Decomposition Network for Advanced Residential Demand Forecasting
Reza Nematirad, Anil Pahwa, Balasubramaniam Natarajan
Residential electricity demand forecasting is critical for efficient energy management and grid stability. Accurate predictions enable utility companies to optimize planning and op…