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Taxonomy of Benchmarks in Graph Representation Learning
Michael Perlmutter
University of California at Los Angeles
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Keyphrases
Graph Neural Network
100%
Graph Representation Learning
100%
Benchmark Dataset
50%
Neural Network
25%
Data-driven Analysis
25%
Graph Benchmark
25%
Neural Network Method
25%
Graph Data
25%
Sensitivity Profile
25%
Principled Approach
25%
Performance Change
25%
Neural Network Performance
25%
Node Features
25%
Graph Prediction
25%
Intrinsic Geometry
25%
Graph Structure
25%
Prediction Task
25%
Data Characteristics
25%
Superior Performance
25%
Multiple Graphs
25%
Task Type
25%
Graph Perturbation
25%
Graph Neural Network Model
25%
Computer Science
Graph Neural Network
100%
Graph Representation Learning
100%
Neural Network
20%
Neural Network Model
20%
Deep Understanding
20%
Superior Performance
20%
Structured Data
20%
Network Performance
20%
Data Characteristic
20%
Benchmarking Dataset
20%
Intrinsic Property
20%