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

CVPR 2020 oral paper: Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax.

Scheduling BilinearRewards

MoveNet Single Pose on DepthAI

DeepDiffusion: Unsupervised Learning of Retrieval-adapted Representations via Diffusion-based Ranking on Latent Feature Manifold

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A Python reference implementation of the CF data model

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