2 papers
cs.LG2025
Exploring Graph-Transformer Out-of-Distribution Generalization Abilities
Itay Niv, Neta Rabin
Deep learning on graphs has shown remarkable success across numerous applications, including social networks, bio-physics, traffic networks, and recommendation systems. Regardless…
cs.LG2025
Automatic mixed precision for optimizing gained time with constrained loss mean-squared-error based on model partition to sequential sub-graphs
Shmulik Markovich-Golan, Daniel Ohayon, Itay Niv +1
Quantization is essential for Neural Network (NN) compression, reducing model size and computational demands by using lower bit-width data types, though aggressive reduction often…