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Computer Science
Recommender Systems
100%
Graph Neural Network
38%
Strong Architecture
38%
Knowledge Graph
38%
Training Data
25%
Explicit Rating
19%
Information Offering
19%
And Gate
19%
Source Codes
19%
User Representation
19%
Model Architecture
19%
Dimensionality Reduction
19%
User Preference
19%
Selection Method
19%
Graph Convolution
19%
Knowledge Graph Embedding
19%
Training Period
19%
Auxiliary Information
19%
User Interaction
19%
Meta-Learning
19%
Exploit Technique
19%
Sampling Technique
12%
Informational Value
9%
Open Source
9%
Application Graph
6%
Subgraphs
6%
Temporal Dimension
6%
Leaning Parameter
6%
Heterogeneous Network
6%
Keyphrases
Inductive Method
32%
Knowledge Graph
30%
Recommender Systems
28%
New Item
20%
Using Knowledge
19%
Hypergraph Model
19%
Graph Convolutional Network
19%
Collaboration Graph
19%
Yelp
19%
Sampling Methods
19%
Graph Sampling
12%
New User
9%
Open Dataset
7%
Explicit Rating
6%
Application Graphs
6%
Graph-based Recommender System
6%
Training Time
6%
Heterogeneous Networks
6%
Training Data
6%
Graph-based
6%
Temporal Dimension
6%
Three-state
6%
Hyperparameter Tuning
6%
