|
gptkbp:instance_of
|
gptkb:television_channel
|
|
gptkbp:bfsLayer
|
5
|
|
gptkbp:bfsParent
|
gptkb:2022_Giro_d'_Italia_Donne
gptkb:2018_Giro_della_Valle_d'_Aosta
gptkb:2023_Tour_of_Flanders
gptkb:2023_Vuelta_a_España_stage_12
gptkb:2019_Tour_of_Poland
gptkb:2021_Vuelta_a_España
|
|
gptkbp:applies_to
|
recommendation systems
semi-supervised learning
|
|
gptkbp:based_on
|
spectral graph theory
|
|
gptkbp:can_be_extended_by
|
gptkb:Graph_Attention_Networks
gptkb:Graph_SAGE
|
|
gptkbp:developed_by
|
gptkb:Google_Research
|
|
gptkbp:enhances
|
node classification
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
GCN+
|
|
gptkbp:improves
|
Graph neural networks
|
|
gptkbp:is_cited_in
|
academic papers
|
|
gptkbp:is_designed_for
|
Graph-based data
|
|
gptkbp:is_effective_against
|
feature extraction
|
|
gptkbp:is_evaluated_by
|
Citeseer dataset
Cora dataset
Pubmed dataset
|
|
gptkbp:is_implemented_in
|
gptkb:Graphics_Processing_Unit
gptkb:Py_Torch
|
|
gptkbp:is_influenced_by
|
convolutional neural networks
|
|
gptkbp:is_part_of
|
AI applications
deep learning frameworks
|
|
gptkbp:is_popular_in
|
gptkb:Research_Institute
|
|
gptkbp:is_related_to
|
gptkb:software_framework
data mining
information retrieval
network science
|
|
gptkbp:is_scalable
|
large graphs
|
|
gptkbp:is_used_for
|
anomaly detection
community detection
graph classification
|
|
gptkbp:is_used_in
|
gptkb:sports_team
gptkb:public_safety
gptkb:robot
gptkb:metropolitan_area
gptkb:railway_line
gptkb:Telecommunications_company
computer vision
drug discovery
environmental monitoring
financial forecasting
natural language processing
smart cities
supply chain optimization
customer behavior analysis
energy management
traffic prediction
social network analysis
healthcare analytics
image segmentation
social media analysis
biological network analysis
e-commerce recommendations
knowledge graph completion
|
|
gptkbp:security_features
|
noisy data
|
|
gptkbp:supports
|
link prediction
|
|
gptkbp:utilizes
|
convolutional layers
|