This is the implementation for Rethinking High-order Graph Convolutional Networks.
Here we show the codes for citation networks as an example.
Module Requirement
Run
python citation.py
You can change hyper-parameters and datasets in citation.py.
Unsupervised Learning - K-Means Clustering and Hierarchical Clustering - The Heritage Foundation's Economic Freedom Index Analysis 2019 - By David Sal
Human Detection System using Raspberry Pi Functionality Activates a relay on detecting motion. You may need following components to get the expected R
Delving into Localization Errors for Monocular 3D Detection By Xinzhu Ma, Yinmin Zhang, Dan Xu, Dongzhan Zhou, Shuai Yi, Haojie Li, Wanli Ouyang. Intr
CoReD: Generalizing Fake Media Detection with Continual Representation using Distillation (ACMMM'21 Oral Paper) (Accepted for oral presentation at ACM
Efficient implementation of YOLOV5 in TensorFlow2
Reliable Propagation-Correction Modulation for Video Object Segmentation (AAAI22) Preview version paper of this work is available at: https://arxiv.or
Coursera-deep-learning-specialization - Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks an
A more easy-to-use implementation of KPConv This repo contains a more easy-to-use implementation of KPConv based on PyTorch. Introduction KPConv is a
📌 Coming soon: an update to the software including features from our paper on semi-supervised OCR post-correction, to be published in the Transaction
Fiddle Fiddle is a Python-first configuration library particularly well suited to ML applications. Fiddle enables deep configurability of parameters i
Space-Time Correspondence as a Contrastive Random Walk This is the repository for Space-Time Correspondence as a Contrastive Random Walk, published at
Accelerated DL R&D PyTorch framework for Deep Learning research and development. It was developed with a focus on reproducibility, fast experimentatio
Relative Uncertainty Learning for Facial Expression Recognition The official implementation of the following paper at NeurIPS2021: Title: Relative Unc
NetKet NetKet is an open-source project delivering cutting-edge methods for the study of many-body quantum systems with artificial neural networks and
EDVR has been merged into BasicSR. This GitHub repo is a mirror of BasicSR. Recommend to use BasicSR, and open issues, pull requests, etc in BasicSR.
Custom Object Tracking Introduction This repo provides function call to track multi-objects in videos with a given trained object detection model and
NeuralPDE NeuralPDE.jl is a solver package which consists of neural network solvers for partial differential equations using scientific machine learni
insilico: A Python package to process & model ChEMBL data. ChEMBL is a manually curated chemical database of bioactive molecules with drug-like proper
ESRGAN generate high quality pictures. GAN. Generative Adversarial Networks """ Super-resolution of CelebA using Generative Adversarial Networks. The
Hierarchical User Intent Graph Network for Multimedia Recommendation This is our Pytorch implementation for the paper: Hierarchical User Intent Graph
1 Jan 12, 2022
55 Dec 04, 2022
124 Jan 04, 2023
1 Nov 12, 2021
202 Jan 06, 2023
70 Dec 04, 2022
1.7k Jan 08, 2023
36 Dec 29, 2022
96 Dec 31, 2022
227 Dec 26, 2022
239 Dec 27, 2022
12 Oct 25, 2021
35 Dec 28, 2022
413 Dec 31, 2022
1.4k Dec 25, 2022
51 Nov 22, 2022
680 Jan 02, 2023
0 Dec 09, 2021
1 Dec 14, 2021
6 Jan 05, 2023