Skip to main navigation
Skip to search
Skip to main content
New Jersey Institute of Technology Home
Help & FAQ
Home
Profiles
Research units
Facilities
Federal Grants
Research output
Press/Media
Search by expertise, name or affiliation
A Unified View on Graph Neural Networks as Graph Signal Denoising
Yao Ma
, Xiaorui Liu
, Tong Zhao
, Yozen Liu
, Jiliang Tang
, Neil Shah
Computer Science
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
129
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'A Unified View on Graph Neural Networks as Graph Signal Denoising'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Aggregation Behavior
50%
Comprehensive Experiment
12%
Denoising Problems
12%
Feature Aggregation
12%
Feature Transformation
12%
Feedforward Network
12%
Graph Denoising
100%
Graph Neural Network
100%
Graph Structure
12%
Learning Representations
12%
Network Layer
12%
Neural Network Framework
12%
Neural Network Model
37%
Representative Graphs
12%
Smoothness Assumption
12%
Unified View
100%
Computer Science
Denoising Problem
12%
Feedforward Network
12%
Graph Neural Network
100%
Network Layer
12%
Neural Network Model
37%
Representation Learning
12%
Signal Denoising
100%
Smoothness Assumption
12%
Structured Data
12%