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Found 3 papers, 2 papers with code
Distinguishing Neighborhood Representations Through Reverse Process of GNNs for Heterophilic Graphs
Graph Neural Network (GNN) resembles the diffusion process, leading to the over-smoothing of learned representations when stacking many layers.
SpReME: Sparse Regression for Multi-Environment Dynamic Systems
Learning dynamical systems is a promising avenue for scientific discoveries.
VeST: Very Sparse Tucker Factorization of Large-Scale Tensors
Given a large tensor, how can we decompose it to sparse core tensor and factor matrices such that it is easier to interpret the results?
Numerical Analysis
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