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ADAPTIVE UNIVERSAL GENERALIZED PAGERANK GRAPH NEURAL NETWORK
Eli Chien
, Jianhao Peng
, Pan Li
,
Olgica Milenkovic
Electrical and Computer Engineering
Coordinated Science Lab
Statistics
Carl R. Woese Institute for Genomic Biology
Siebel School of Computing and Data Science
Research output
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Contribution to conference
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peer-review
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Keyphrases
Automatically Adjust
14%
Benchmark Dataset
28%
Existing Techniques
14%
Feature Information
28%
Generalized PageRank
100%
Graph Neural Network
100%
Graph Signal Processing
14%
Graph Topology
14%
Heterophil
28%
Heterophilic Graphs
14%
Homophily
14%
Information Extraction
14%
Learning Performance
14%
Neural Network Architecture
28%
Neural Network Method
14%
Node Classification
14%
Node Features
28%
Node Label
28%
Over-smoothing
14%
Performance Improvement
14%
Processing Applications
14%
Sources of Evidence
14%
Stochastic Block Model
14%
Synthetic Benchmarks
14%
Synthetic Data
14%
Topological Information
14%
Computer Science
Data Processing Application
14%
Feature Information
14%
Graph Neural Network
100%
Information Extraction
14%
Learning Performance
14%
Neural Network Architecture
28%
Node Classification
14%
Performance Improvement
14%
Stochastic Block Model
14%
Topology Graph
14%