A Novel Graph Representation Learning Approach for Visual Modeling Using Neural Combinatorial Optimization

Author:

Chatterjee Subhrasankar,Pain Subrata,Samanta Debasis

Publisher

Springer Nature Switzerland

Reference22 articles.

1. Agrawal, P., Stansbury, D., Malik, J., Gallant, J.: Pixels to voxels: Modeling visual representation in the human brain (07 2014)

2. Bello, I., Pham, H., Le, Q., Norouzi, M., Bengio, S.: Neural combinatorial optimization with reinforcement learning (2016)

3. Chatterjee, S., Pain, S., Samanta, D.: Adversarial policy gradient for learning graph-based representation in human visual processing (2023). https://openreview.net/forum?id=5-ROmmBJKV

4. Cui, Y., Qiao, K., Zhang, C., Wang, L., Yan, B., Tong, l.: GaborNet visual encoding: a lightweight region-based visual encoding model with good expressiveness and biological interpretability. Front. Neurosci. 15, 614182 (2021). https://doi.org/10.3389/fnins.2021.614182

5. Deshpande, G., Wang, Y.: Noninvasive characterization of functional pathways in layer-specific microcircuits of the human brain using 7T fMRI. Brain Sci. 12, 1361 (2022). https://doi.org/10.3390/brainsci12101361

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