This is the repository for the AAAI 21 paper [Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning].

Related tags

Deep LearningCG3
Overview

CG3

This is the repository for the AAAI 21 paper [Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning].

Requirements

  • Tensorflow (1.14.0)

Usage

You can conduct node classification experiments on benchmark datasets (e.g., CiteSeer) by running the 'main.py' file.

Cite

Please cite our paper if you use this code in your own work:

@inproceedings{Wan2021Contrastive,
  title={Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning},
  author={Wan, Sheng and Pan, Shirui and Yang, Jian and Gong, Chen},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={35},
  number={11},
  pages={10049-10057},
  year={2021}
}
RINDNet: Edge Detection for Discontinuity in Reflectance, Illumination, Normal and Depth, in ICCV 2021 (oral)

RINDNet RINDNet: Edge Detection for Discontinuity in Reflectance, Illumination, Normal and Depth Mengyang Pu, Yaping Huang, Qingji Guan and Haibin Lin

Mengyang Pu 75 Dec 15, 2022
Code and data for ImageCoDe, a contextual vison-and-language benchmark

ImageCoDe This repository contains code and data for ImageCoDe: Image Retrieval from Contextual Descriptions. Data All collected descriptions for the

McGill NLP 27 Dec 02, 2022
Weakly Supervised Dense Event Captioning in Videos, i.e. generating multiple sentence descriptions for a video in a weakly-supervised manner.

WSDEC This is the official repo for our NeurIPS paper Weakly Supervised Dense Event Captioning in Videos. Description Repo directories ./: global conf

Melon(Xuguang Duan) 96 Nov 01, 2022
Open AI's Python library

OpenAI Python Library The OpenAI Python library provides convenient access to the OpenAI API from applications written in the Python language. It incl

Pavan Ananth Sharma 3 Jul 10, 2022
Experiments with differentiable stacks and queues in PyTorch

Please use stacknn-core instead! StackNN This project implements differentiable stacks and queues in PyTorch. The data structures are implemented in s

Will Merrill 141 Oct 06, 2022
How Effective is Incongruity? Implications for Code-mix Sarcasm Detection.

Code for the paper: How Effective is Incongruity? Implications for Code-mix Sarcasm Detection - ICON ACL 2021

2 Jun 05, 2022
Pytorch Implementation for (STANet+ and STANet)

Pytorch Implementation for (STANet+ and STANet) V2-Weakly Supervised Visual-Auditory Saliency Detection with Multigranularity Perception (arxiv), pdf:

GuotaoWang 14 Nov 29, 2022
code for CVPR paper Zero-shot Instance Segmentation

Code for CVPR2021 paper Zero-shot Instance Segmentation Code requirements python: python3.7 nvidia GPU pytorch1.1.0 GCC =5.4 NCCL 2 the other python

zhengye 86 Dec 13, 2022
Home for cuQuantum Python & NVIDIA cuQuantum SDK C++ samples

Welcome to the cuQuantum repository! This public repository contains two sets of files related to the NVIDIA cuQuantum SDK: samples: All C/C++ sample

NVIDIA Corporation 147 Dec 27, 2022
A curated list of awesome game datasets, and tools to artificial intelligence in games

๐ŸŽฎ Awesome Game Datasets In computer science, Artificial Intelligence (AI) is intelligence demonstrated by machines. Its definition, AI research as th

Leonardo Mauro 454 Jan 03, 2023
Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(2021) paper

ImageNet-21K Pretraining for the Masses Paper | Pretrained models Official PyTorch Implementation Tal Ridnik, Emanuel Ben-Baruch, Asaf Noy, Lihi Zelni

574 Jan 02, 2023
Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".

Matern Gaussian Processes on Graphs This repo provides an extension for gpflow with Matรฉrn kernels, inducing variables and trainable models implemente

41 Dec 17, 2022
Demonstration of transfer of knowledge and generalization with distillation

Distilling-the-Knowledge-in-a-Neural-Network This is an implementation of a part of the paper "Distilling the Knowledge in a Neural Network" (https://

26 Nov 25, 2022
Dynamic Multi-scale Filters for Semantic Segmentation (DMNet ICCV'2019)

Dynamic Multi-scale Filters for Semantic Segmentation (DMNet ICCV'2019) Introduction Official implementation of Dynamic Multi-scale Filters for Semant

23 Oct 21, 2022
Airborne Optical Sectioning (AOS) is a wide synthetic-aperture imaging technique

AOS: Airborne Optical Sectioning Airborne Optical Sectioning (AOS) is a wide synthetic-aperture imaging technique that employs manned or unmanned airc

JKU Linz, Institute of Computer Graphics 39 Dec 09, 2022
๐Ÿฅ‡ LG-AI-Challenge 2022 1์œ„ ์†”๋ฃจ์…˜ ์ž…๋‹ˆ๋‹ค.

LG-AI-Challenge-for-Plant-Classification Dacon์—์„œ ์ง„ํ–‰๋œ ๋†์—… ํ™˜๊ฒฝ ๋ณ€ํ™”์— ๋”ฐ๋ฅธ ์ž‘๋ฌผ ๋ณ‘ํ•ด ์ง„๋‹จ AI ๊ฒฝ์ง„๋Œ€ํšŒ ์— ๋Œ€ํ•œ ์ฝ”๋“œ์ž…๋‹ˆ๋‹ค. (colab directory์— ์ฝ”๋“œ๊ฐ€ ์ž˜ ์ •๋ฆฌ ๋˜์–ด์žˆ์Šต๋‹ˆ๋‹ค.) Requirements python

siwooyong 10 Jun 30, 2022
Artificial Intelligence search algorithm base on Pacman

Pacman Search Artificial Intelligence search algorithm base on Pacman Source The Pacman Projects by the University of California, Berkeley. Layouts Di

Day Fundora 6 Nov 17, 2022
Hierarchical Aggregation for 3D Instance Segmentation (ICCV 2021)

HAIS Hierarchical Aggregation for 3D Instance Segmentation (ICCV 2021) by Shaoyu Chen, Jiemin Fang, Qian Zhang, Wenyu Liu, Xinggang Wang*. (*) Corresp

Hust Visual Learning Team 145 Jan 05, 2023
Local Multi-Head Channel Self-Attention for FER2013

LHC-Net Local Multi-Head Channel Self-Attention This repository is intended to provide a quick implementation of the LHC-Net and to replicate the resu

12 Jan 04, 2023
PyTorch implementation of the WarpedGANSpace: Finding non-linear RBF paths in GAN latent space (ICCV 2021)

Authors official PyTorch implementation of the "WarpedGANSpace: Finding non-linear RBF paths in GAN latent space" [ICCV 2021].

Christos Tzelepis 100 Dec 06, 2022