Neural Algorithmic Reasoning for Graph Saddle Point Problems
Neural algorithmic reasoning, or aligning a neural network with an algorithmic paradigm, has emerged as an approach to solving polynomial-time-solvable and computationally harder combinatorial optimization problems. We propose a new message-passing framework based on the Chambolle-Pock Primal--Dual Hybrid Gradient (PDH...
Samantha Chen, Jesse He, Coleman Clougherty et al.
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