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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
134
Scopus citations
Overview
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Dive into the research topics of 'A Unified View on Graph Neural Networks as Graph Signal Denoising'. Together they form a unique fingerprint.
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Keyphrases
Graph Neural Network
100%
Unified View
100%
Graph Denoising
100%
Aggregation Behavior
50%
Neural Network Model
37%
Graph Structure
12%
Learning Representations
12%
Network Layer
12%
Comprehensive Experiment
12%
Denoising Problems
12%
Feature Aggregation
12%
Feedforward Network
12%
Neural Network Framework
12%
Feature Transformation
12%
Smoothness Assumption
12%
Representative Graphs
12%
Computer Science
Graph Neural Network
100%
Signal Denoising
100%
Neural Network Model
37%
Representation Learning
12%
Structured Data
12%
Network Layer
12%
Denoising Problem
12%
Feedforward Network
12%
Smoothness Assumption
12%