The official PyTorch implementation for the paper "sMGC: A Complex-Valued Graph Convolutional Network via Magnetic Laplacian for Directed Graphs".

Related tags

Deep Learningpython3pytorchlaplaciangnndigraphs
Overview

Magnetic Graph Convolutional Networks

The Magnetic Eigenmap

A directed 4-cycle

About

The official PyTorch implementation for the paper sMGC: A Complex-Valued Graph Convolutional Network via Magnetic Laplacian for Directed Graphs.

Requirements

To install requirements:

pip3 install -r requirements.txt

Results

Node classification accuracy in Citation networks (%)

Model CoRA CiteSeer PubMed
GAT 82.60 ± 0.40 70.45 ± 0.25 77.45 ± 0.45
sMGC 82.70 ± 0.00 73.30 ± 0.00 79.90 ± 0.10
MGC 82.50 ± 1.00 71.25 ± 0.95 79.70 ± 0.40

Node classification accuracy in WebKB (%)

Model Cornell Texas Washington Wisconsin
GAT 41.03 ± 0.00 52.63 ± 2.63 63.04 ± 0.00 56.61 ± 1.88
sMGC 73.08 ± 1.28 71.05 ± 0.00 68.48 ± 3.26 80.19 ± 2.83
MGC 80.77 ± 3.85 82.90 ± 1.31 70.66 ± 1.08 87.74 ± 2.83

Reproduce experiment results

sMGC

CoRA:

python3 main_smgc.py --mode='test' --seed=100 --dataset_config_path='./config/data/cora.ini' --alpha=0.03 --t=8.05 --K=38

CiteSeer:

python3 main_smgc.py --mode='test' --seed=100 --dataset_config_path='./config/data/citeseer.ini' --alpha=0.01 --t=5.16 --K=40

PubMed:

python3 main_smgc.py --mode='test' --seed=100 --dataset_config_path='./config/data/pubmed.ini' --alpha=0.01 --t=5.95 --K=25

Cornell:

python3 main_smgc.py --mode='test' --seed=100 --dataset_config_path='./config/data/cornell.ini' --alpha=0.95 --t=45.32 --K=12

Texas:

python3 main_smgc.py --mode='test' --seed=100 --dataset_config_path='./config/data/texas.ini' --alpha=0.71 --t=45.08 --K=23

Washington:

python3 main_smgc.py --mode='test' --seed=100 --dataset_config_path='./config/data/washington.ini' --alpha=0.77 --t=45.95 --K=44

Wisconsin:

python3 main_smgc.py --mode='test' --seed=100 --dataset_config_path='./config/data/wisconsin.ini' --alpha=0.93 --t=25.76 --K=34

MGC

CoRA:

python3 main_mgc.py --mode='test' --seed=100 --dataset_config_path='./config/data/cora.ini' --alpha=0.08 --t=5.85 --K=10 --droprate=0.4

CiteSeer:

python3 main_mgc.py --mode='test' --seed=100 --dataset_config_path='./config/data/citeseer.ini' --alpha=0.01 --t=25.95 --K=35 --droprate=0.3

PubMed:

python3 main_mgc.py --mode='test' --seed=100 --dataset_config_path='./config/data/pubmed.ini' --alpha=0.03 --t=15.95 --K=20 --droprate=0.5

Cornell:

python3 main_mgc.py --mode='test' --seed=100 --dataset_config_path='./config/data/cornell.ini' --alpha=0.66 --t=38.49 --K=31 --droprate=0.6

Texas:

python3 main_mgc.py --mode='test' --seed=100 --dataset_config_path='./config/data/texas.ini' --alpha=0.75 --t=0.53 --K=4 --droprate=0.5

Washington:

python3 main_mgc.py --mode='test' --seed=100 --dataset_config_path='./config/data/washington.ini' --alpha=0.73 --t=42.36 --K=21 --droprate=0.1

Wisconsin:

python3 main_mgc.py --mode='test' --seed=100 --dataset_config_path='./config/data/wisconsin.ini' --alpha=0.34 --t=0.52 --K=12 --droprate=0.5
Owner
What we know is a drop. What we do not know is an ocean.
GitHub Repository
Multi-Content GAN for Few-Shot Font Style Transfer at CVPR 2018

MC-GAN in PyTorch This is the implementation of the Multi-Content GAN for Few-Shot Font Style Transfer. The code was written by Samaneh Azadi. If you

Samaneh Azadi 422 Dec 04, 2022
🤗 Paper Style Guide

🤗 Paper Style Guide (Work in progress, send a PR!) Libraries to Know booktabs natbib cleveref Either seaborn, plotly or altair for graphs algorithmic

Hugging Face 66 Dec 12, 2022
Official implementation of "Generating 3D Molecules for Target Protein Binding"

Generating 3D Molecules for Target Protein Binding This is the official implementation of the GraphBP method proposed in the following paper. Meng Liu

DIVE Lab, Texas A&M University 74 Dec 07, 2022
Official codebase for Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real World

Legged Robots that Keep on Learning Official codebase for Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real World, whic

Laura Smith 70 Dec 07, 2022
Prososdy Morph: A python library for manipulating pitch and duration in an algorithmic way, for resynthesizing speech.

ProMo (Prosody Morph) Questions? Comments? Feedback? Chat with us on gitter! A library for manipulating pitch and duration in an algorithmic way, for

Tim 71 Jan 02, 2023
Feup-csr - Repository holding my group's submission to the CSR project competition

CSR Competições de Swarm Robotics Swarm Robotics Competitions This repository holds the files submitted for the CSR project competition. Project group

Nuno Pereira 1 Jan 04, 2022
Optimizing synthesizer parameters using gradient approximation

Optimizing synthesizer parameters using gradient approximation NASH 2021 Hackathon! These are some experiments I conducted during NASH 2021, the Neura

Jordie Shier 10 Feb 10, 2022
Official PyTorch implementation of StyleGAN3

Modified StyleGAN3 Repo Changes Made tied to python 3.7 syntax .jpgs instead of .pngs for training sample seeds to recreate the 1024 training grid wit

Derrick Schultz (he/him) 83 Dec 15, 2022
Pytorch tutorials for Neural Style transfert

PyTorch Tutorials This tutorial is no longer maintained. Please use the official version: https://pytorch.org/tutorials/advanced/neural_style_tutorial

Alexis David Jacq 135 Jun 26, 2022
Repository to run object detection on a model trained on an autonomous driving dataset.

Autonomous Driving Object Detection on the Raspberry Pi 4 Description of Repository This repository contains code and instructions to configure the ne

Ethan 51 Nov 17, 2022
Tzer: TVM Implementation of "Coverage-Guided Tensor Compiler Fuzzing with Joint IR-Pass Mutation (OOPSLA'22)“.

Artifact • Reproduce Bugs • Quick Start • Installation • Extend Tzer Coverage-Guided Tensor Compiler Fuzzing with Joint IR-Pass Mutation This is the s

12 Dec 29, 2022
This repository implements variational graph auto encoder by Thomas Kipf.

Variational Graph Auto-encoder in Pytorch This repository implements variational graph auto-encoder by Thomas Kipf. For details of the model, refer to

DaehanKim 215 Jan 02, 2023
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

Xcessiv Xcessiv is a tool to help you create the biggest, craziest, and most excessive stacked ensembles you can think of. Stacked ensembles are simpl

Reiichiro Nakano 1.3k Nov 17, 2022
Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".

VL-BERT By Weijie Su, Xizhou Zhu, Yue Cao, Bin Li, Lewei Lu, Furu Wei, Jifeng Dai. This repository is an official implementation of the paper VL-BERT:

Weijie Su 698 Dec 18, 2022
Reproducing code of hair style replacement method from Barbershorp.

Barbershorp Reproducing code of hair style replacement method from Barbershorp. Also reproduces II2S, an improved version of Image2StyleGAN. Requireme

1 Dec 24, 2021
Employee-Managment - Company employee registration software in the face recognition system

Employee-Managment Company employee registration software in the face recognitio

Alireza Kiaeipour 7 Jul 10, 2022
Train emoji embeddings based on emoji descriptions.

emoji2vec This is my attempt to train, visualize and evaluate emoji embeddings as presented by Ben Eisner, Tim Rocktäschel, Isabelle Augenstein, Matko

Miruna Pislar 17 Sep 03, 2022
DeepProbLog is an extension of ProbLog that integrates Probabilistic Logic Programming with deep learning by introducing the neural predicate.

DeepProbLog DeepProbLog is an extension of ProbLog that integrates Probabilistic Logic Programming with deep learning by introducing the neural predic

KU Leuven Machine Learning Research Group 94 Dec 18, 2022
OpenDelta - An Open-Source Framework for Paramter Efficient Tuning.

OpenDelta is a toolkit for parameter efficient methods (we dub it as delta tuning), by which users could flexibly assign (or add) a small amount parameters to update while keeping the most paramters

THUNLP 386 Dec 26, 2022
E-RAFT: Dense Optical Flow from Event Cameras

E-RAFT: Dense Optical Flow from Event Cameras This is the code for the paper E-RAFT: Dense Optical Flow from Event Cameras by Mathias Gehrig, Mario Mi

Robotics and Perception Group 71 Dec 12, 2022