A new framework, collaborative cascade prediction based on graph neural networks (CCasGNN) to jointly utilize the structural characteristics, sequence features, and user profiles.

Last update: Apr 29, 2022

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Overview

CCasGNN

A new framework, collaborative cascade prediction based on graph neural networks (CCasGNN) to jointly utilize the structural characteristics, sequence features, and user profiles.

Dataset

We publish the example of processed dataset. Each "list" represents the cascade information. It contains edges, features, nodes(the order of diffusion)

Downlowd link: https://drive.google.com/drive/folders/13k2yKJhRSgGOP9GSBJG7aTsS90JwG337?usp=sharing

The original dataset can be download at: https://www.aminer.cn/data-sna#Twitter-Dynamic-Net, https://www.aminer.cn/citation

Owner

GitHub Repository

The code for SAG-DTA: Prediction of Drug–Target Affinity Using Self-Attention Graph Network.

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codes for "Scheduled Sampling Based on Decoding Steps for Neural Machine Translation" (long paper of EMNLP-2022)

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Project looking into use of autoencoder for semi-supervised learning and comparing data requirements compared to supervised learning.

2 Dec 17, 2021

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A new framework, collaborative cascade prediction based on graph neural networks (CCasGNN) to jointly utilize the structural characteristics, sequence features, and user profiles.

Related tags

Overview

CCasGNN

Dataset

Owner

The code for SAG-DTA: Prediction of Drug–Target Affinity Using Self-Attention Graph Network.

PyTorch Implementation of Daft-Exprt: Robust Prosody Transfer Across Speakers for Expressive Speech Synthesis

Example of a Quantum LSTM

SAS output to EXCEL converter for Cornell/MIT Language and acquisition lab

codes for "Scheduled Sampling Based on Decoding Steps for Neural Machine Translation" (long paper of EMNLP-2022)

Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering

Snapchat-filters-app-opencv-python - Here we used opencv and other inbuilt python modules to create filter application like snapchat

Do you like Quick, Draw? Well what if you could train/predict doodles drawn inside Streamlit? Also draws lines, circles and boxes over background images for annotation.

Official Implementation of SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations

Preprossing-loan-data-with-NumPy - In this project, I have cleaned and pre-processed the loan data that belongs to an affiliate bank based in the United States.

Project looking into use of autoencoder for semi-supervised learning and comparing data requirements compared to supervised learning.

Control-Raspberry-Pi-Robot-using-Hand-Gestures - A 4WD Robot car based on Raspberry Pi that controlled by hand gestures(using openCV and mediapipe)

DaReCzech is a dataset for text relevance ranking in Czech

Code for the paper "Zero-shot Natural Language Video Localization" (ICCV2021, Oral).

[3DV 2021] Channel-Wise Attention-Based Network for Self-Supervised Monocular Depth Estimation

Face Identity Disentanglement via Latent Space Mapping [SIGGRAPH ASIA 2020]

Official PyTorch implemention of our paper "Learning to Rectify for Robust Learning with Noisy Labels".

Image-to-Image Translation in PyTorch

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SoGCN: Second-Order Graph Convolutional Networks