CST-Net: community-guided structural-temporal convolutional networks for popularity prediction
The ability to predict the popularity of online contents has important implications in a wide range of areas. The challenge of this problem comes from the inequality of the popularity of content and the numerous complex factors. Existing works fall into three main paradigms: feature-driven approache...
Saved in:
| Main Authors: | Xuxu Zheng, Peng Bao, Lin Qi, Chen Tian, Huawei Shen |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2025-06-01
|
| Series: | PeerJ Computer Science |
| Subjects: | |
| Online Access: | https://peerj.com/articles/cs-2931.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
TSL:predicting popularity of Facebook content based on tie strength
by: Xiaomeng WANG, et al.
Published: (2019-10-01) -
Neural network and Markov based combination prediction algorithm of video popularity
by: Xuesen MA, et al.
Published: (2021-08-01) -
Online Popularity Prediction Scheme Based on Converging Property in Content Aware Soft Real Time Media Broadcast System
by: Huangqing Chen, et al.
Published: (2015-11-01) -
Learnable Diffusion Distances for Link Prediction
by: Ahmed Begga, et al.
Published: (2025-01-01) -
Crystal structure prediction based on diffusion model and graph network optimization
by: Tao Hong, et al.
Published: (2025-01-01)