MIRROR: Mining Implicit Relationships via Structure-Enhanced Graph Convolutional Networks
Data explosion in the information society drives people to develop more effective ways to extract meaningful information. Extracting semantic information and relational information has emerged as a key mining primitive in a wide variety of practical applications. Existing research on relation mining...
Saved in:
Main Authors: | LIU, Jiaying, XIA, Feng, REN, Jing, XU, Bo, PANG, Guansong, CHI, Lianhua |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2023
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/8002 https://ink.library.smu.edu.sg/context/sis_research/article/9005/viewcontent/Mirror_pv.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback
by: Yinwei Wei, et al.
Published: (2020) -
When convolutional network meets temporal heterogeneous graphs: an effective community detection method
by: Zheng, Yaping, et al.
Published: (2023) -
Poisson kernel: avoiding self-smoothing in graph convolutional networks
by: Yang, Ziqing, et al.
Published: (2022) -
TOWARD EFFECTIVE AND EFFICIENT GRAPH NEURAL NETWORKS WITH IMPLICIT LAYERS
by: LIU JUNCHENG
Published: (2024) -
A multisensory interaction framework for human-cyber–physical system based on graph convolutional networks
by: Qi, Wenqian, et al.
Published: (2024)