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cs.LG2026
InfGraND: An Influence-Guided GNN-to-MLP Knowledge Distillation
Amir Eskandari, Aman Anand, Elyas Rashno +1
Graph Neural Networks (GNNs) are the go-to model for graph data analysis. However, GNNs rely on two key operations - aggregation and update, which can pose challenges for low-laten…
cs.LG2024★ 1 cited
SDA-GRIN for Adaptive Spatial-Temporal Multivariate Time Series Imputation
Amir Eskandari, Aman Anand, Drishti Sharma +1
In various applications, the multivariate time series often suffers from missing data. This issue can significantly disrupt systems that rely on the data. Spatial and temporal depe…