Pretrained Cost Model for Distributed Constraint Optimization Problems

Last update: Aug 28, 2022

Related tags

Deep Learning GAT-PCM

Overview

Pretrained Cost Model for Distributed Constraint Optimization Problems

Requirements

PyTorch 1.9.0
PyTorch Geometric 1.7.1

Directory structure

baselines contains the implementation of all compared baselines
core contains the core data structures to run the simulation
entry contains the entry point of each algorithm
heuristics contains the implementation of GAT-PCM-boosted algorithms
pretrain contains the implementation of pretraining stage

How to run the code

See the command line interface of run_*.py in entry.

Example:

python -um entry.run_dsa -pth problem.xml -c 1000 -p 0.8

Owner

GitHub Repository

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Pretrained Cost Model for Distributed Constraint Optimization Problems

Related tags

Overview

Pretrained Cost Model for Distributed Constraint Optimization Problems

Requirements

Directory structure

How to run the code

Owner

Code accompanying "Evolving spiking neuron cellular automata and networks to emulate in vitro neuronal activity," accepted to IEEE SSCI ICES 2021

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Weakly Supervised Segmentation by Tensorflow.

BADet: Boundary-Aware 3D Object Detection from Point Clouds (Pattern Recognition 2022)

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Implementation for paper "Towards the Generalization of Contrastive Self-Supervised Learning"

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XViT - Space-time Mixing Attention for Video Transformer

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Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

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