Code for KHGT model, AAAI2021

Last update: Nov 29, 2022

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Deep Learning KHGT

Overview

KHGT

Code for KHGT accepted by AAAI2021

Please unzip the data files in Datasets/ first.

To run KHGT on Yelp data, use

python labcode_yelp.py

For MovieLens data, use the following command to train

python labcode_ml10m.py --data ml10m --graphSampleN 1000 --save_path XXX

and use this command to test with larger sampled sub-graphs

python labcode_ml10m.py --data ml10m --graphSampleN 5000 --epoch 0 --load_model XXX

For Online Retail data, use this command to train

python labcode_retail.py --data retail --graphSampleN 15000 --reg 1e-1 --save_path XXX

and also load the model to test it with larger sampled sub-graphs

python labcode_retail.py --data retail --graphSampleN 30000 --epoch 0 --load_model XXX

Owner

GitHub Repository

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Code for KHGT model, AAAI2021

Related tags

Overview

KHGT

Owner

This repository contains the code and models necessary to replicate the results of paper: How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective

[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

Code for the paper "Multi-task problems are not multi-objective"

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Source code for the paper "Periodic Traveling Waves in an Integro-Difference Equation With Non-Monotonic Growth and Strong Allee Effect"

Byzantine-robust decentralized learning via self-centered clipping

Data and code for ICCV 2021 paper Distant Supervision for Scene Graph Generation.

Source code of the paper Meta-learning with an Adaptive Task Scheduler.

Efficient 3D human pose estimation in video using 2D keypoint trajectories

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