This is the official code of L2G, Unrolling and Recurrent Unrolling in Learning to Learn Graph Topologies.

Overview

Learning to Learn Graph Topologies

This is the official code of L2G, Unrolling and Recurrent Unrolling in Learning to Learn Graph Topologies.

Requirement

The code has been tested under:

  • Python == 3.6.0

  • PyTorch >= 1.4.0 ๏ฝœ CUDA == 10.1

Overview

A quick summary of different folders:

  • src/models.py contains the source code for the proposed L2G and Unrolling.

  • src/baselines.py contains the source code for the iterative algorithm PDS and ADMM.

  • src/utils.py contains utility functions.

  • src/utils_data.py contains the code for generating synthetic data and graphs.

  • data/ is a folder for datasets.

  • log/ contains training logs.

  • saved_model/ is a folder to store trained models.

  • saved_results/ is a folder to store testing results.

  • data_simulation.py contains a code snippet of generating synthetic data and graphs.

  • main_L2G.py includes the code for training, validating and testing L2G.

  • main_Unrolling.py includes the code for training, validating and testing Unrolling.

Examples

As there is a requirement on the maximum file size for submissions, we cannot upload all the experimental results and dataset. However, we include all the source code and some of the results as below.

  • Training and testing L2G on scale-free networks, run:

    export PYTHONPATH=$PATHONPATH:'pwd' &&
    python data_simulation.py &&
    python main_L2G.py --graph_type='BA' --n_epochs=100

    One can find a running log of training and validation loss per epoch at logs/L2G_BA_m20_x20.log. The trained model and test results are automatically saved in saved_model/L2G_BA20_unroll20.pt and saved_results/L2G_BA20_unroll20.pt.

  • Training and testing Unrolling (ablation study) on scale-free networks, run:

    export PYTHONPATH=$PATHONPATH:'pwd' &&
    python data_simulation.py &&
    python main_Unrolling.py --graph_type='BA' --n_epochs=100
  • In L2G_WS_m50_x20.ipynb, we show a step-by-step example of training and testing L2G on small-world graphs.

For all the above examples, the results are saved in saved_results/ and the trained models are saved in saved_model/ .

Owner
Stacy X PU
A PhD Candidate in Machine Learning at Oxford
Stacy X PU
Tools for manipulating UVs in the Blender viewport.

UV Tool Suite for Blender A set of tools to make editing UVs easier in Blender. These tools can be accessed wither through the Kitfox - UV panel on th

35 Oct 29, 2022
IDA file loader for UF2, created for the DEFCON 29 hardware badge

UF2 Loader for IDA The DEFCON 29 badge uses the UF2 bootloader, which conveniently allows you to dump and flash the firmware over USB as a mass storag

Kevin Colley 6 Feb 08, 2022
Reverse engineering recurrent neural networks with Jacobian switching linear dynamical systems

Reverse engineering recurrent neural networks with Jacobian switching linear dynamical systems This repository is the official implementation of Rever

6 Aug 25, 2022
MPI-IS Mesh Processing Library

Perceiving Systems Mesh Package This package contains core functions for manipulating meshes and visualizing them. It requires Python 3.5+ and is supp

Max Planck Institute for Intelligent Systems 494 Jan 06, 2023
Approaches to modeling terrain and maps in python

topography ๐ŸŒŽ Contains different approaches to modeling terrain and topographic-style maps in python Features Inverse Distance Weighting (IDW) A given

John Gutierrez 1 Aug 10, 2022
Hybrid CenterNet - Hybrid-supervised object detection / Weakly semi-supervised object detection

Hybrid-Supervised Object Detection System Object detection system trained by hybrid-supervision/weakly semi-supervision (HSOD/WSSOD): This project is

5 Dec 10, 2022
null

DeformingThings4D dataset Video | Paper DeformingThings4D is an synthetic dataset containing 1,972 animation sequences spanning 31 categories of human

208 Jan 03, 2023
Python code to fuse multiple RGB-D images into a TSDF voxel volume.

Volumetric TSDF Fusion of RGB-D Images in Python This is a lightweight python script that fuses multiple registered color and depth images into a proj

Andy Zeng 845 Jan 03, 2023
Athena is the only tool that you will ever need to optimize your portfolio.

Athena Portfolio optimization is the process of selecting the best portfolio (asset distribution), out of the set of all portfolios being considered,

Indrajit 1 Mar 25, 2022
[์ œ 13ํšŒ ํˆฌ๋น…์Šค ์ปจํผ๋Ÿฐ์Šค] OK Mugle! - ์žฅ๋ฅด๋ถ€ํ„ฐ ๋ฉœ๋กœ๋””๊นŒ์ง€, Content-based Music Recommendation

Ok Mugle! ๐ŸŽต ์žฅ๋ฅด๋ถ€ํ„ฐ ๋ฉœ๋กœ๋””๊นŒ์ง€, Content-based Music Recommendation 'Ok Mugle!'์€ ์ œ13ํšŒ ํˆฌ๋น…์Šค ์ปจํผ๋Ÿฐ์Šค(2022.01.15)์—์„œ ์ง„ํ–‰ํ•œ ์Œ์•… ์ถ”์ฒœ ํ”„๋กœ์ ํŠธ์ž…๋‹ˆ๋‹ค. Description ๐Ÿ“– ๋ณธ ํ”„๋กœ์ ํŠธ์—์„œ๋Š” Kakao

SeongBeomLEE 5 Oct 09, 2022
A Protein-RNA Interface Predictor Based on Semantics of Sequences

PRIP PRIP๏ผšA Protein-RNA Interface Predictor Based on Semantics of Sequences installation gensim==3.8.3 matplotlib==3.1.3 xgboost==1.3.3 prettytable==2

ๆŽไผ˜ 0 Mar 25, 2022
The repo for reproducing Seed-driven Document Ranking for Systematic Reviews: A Reproducibility Study

ECIR Reproducibility Paper: Seed-driven Document Ranking for Systematic Reviews: A Reproducibility Study This code corresponds to the reproducibility

ielab 3 Mar 31, 2022
โšก H2G-Net for Semantic Segmentation of Histopathological Images

H2G-Net This repository contains the code relevant for the proposed design H2G-Net, which was introduced in the manuscript "Hybrid guiding: A multi-re

Andrรฉ Pedersen 8 Nov 24, 2022
Kaggle Feedback Prize - Evaluating Student Writing 15th solution

Kaggle Feedback Prize - Evaluating Student Writing 15th solution First of all, I would like to thank the excellent notebooks and discussions from http

Lingyuan Zhang 6 Mar 24, 2022
Supplementary code for TISMIR paper "Sliding-Window Pitch-Class Histograms as a Means of Modeling Musical Form"

Sliding-Window Pitch-Class Histograms as a Means of Modeling Musical Form This is supplementary code for the TISMIR paper Sliding-Window Pitch-Class H

1 Nov 27, 2021
Edison AT is software Depression Assistant personal.

Edison AT Edison AT is software / program Depression Assistant personal. Feature: Analyze emotional real-time from face. Audio Edison(Comingsoon relea

Ananda Rauf 2 Apr 24, 2022
PyTorch implementation of 1712.06087 "Zero-Shot" Super-Resolution using Deep Internal Learning

Unofficial PyTorch implementation of "Zero-Shot" Super-Resolution using Deep Internal Learning Unofficial Implementation of 1712.06087 "Zero-Shot" Sup

Jacob Gildenblat 196 Nov 27, 2022
This Jupyter notebook shows one way to implement a simple first-order low-pass filter on sampled data in discrete time.

How to Implement a First-Order Low-Pass Filter in Discrete Time We often teach or learn about filters in continuous time, but then need to implement t

Joshua Marshall 4 Aug 24, 2022
Ivy is a templated deep learning framework which maximizes the portability of deep learning codebases.

Ivy is a templated deep learning framework which maximizes the portability of deep learning codebases. Ivy wraps the functional APIs of existing frameworks. Framework-agnostic functions, libraries an

Ivy 8.2k Jan 02, 2023
The implementation of PEMP in paper "Prior-Enhanced Few-Shot Segmentation with Meta-Prototypes"

Prior-Enhanced network with Meta-Prototypes (PEMP) This is the PyTorch implementation of PEMP. Overview of PEMP Meta-Prototypes & Adaptive Prototypes

Jianwei ZHANG 8 Oct 14, 2021