Statements (58)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:neural_networks
|
| gptkbp:applies_to |
semi-supervised learning
|
| gptkbp:can_be_extended_by |
gptkb:Graph_Attention_Networks
gptkb:Graph_SAGE |
| gptkbp:can_be_used_in |
social network analysis
|
| gptkbp:designed_for |
Graph-based data
|
| 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_applied_in |
recommendation systems
|
| gptkbp:is_based_on |
spectral graph theory
|
| gptkbp:is_cited_in |
academic papers
|
| gptkbp:is_effective_against |
feature extraction
|
| gptkbp:is_evaluated_by |
Citeseer dataset
Cora dataset Pubmed dataset |
| gptkbp:is_implemented_in |
gptkb:Tensor_Flow
gptkb:Py_Torch |
| gptkbp:is_influenced_by |
convolutional neural networks
|
| gptkbp:is_part_of |
AI applications
deep learning frameworks |
| gptkbp:is_popular_in |
gptkb:scientific_community
|
| gptkbp:is_related_to |
gptkb:machine_learning
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:disaster_response gptkb:public_safety gptkb:Telecommunications gptkb:urban_planning gptkb:robotics computer vision drug discovery environmental monitoring financial forecasting natural language processing smart cities supply chain optimization customer behavior analysis energy management traffic prediction healthcare analytics image segmentation social media analysis biological network analysis e-commerce recommendations knowledge graph completion |
| gptkbp:security |
noisy data
|
| gptkbp:supports |
link prediction
|
| gptkbp:utilizes |
convolutional layers
|
| gptkbp:bfsParent |
gptkb:2018_Giro_della_Valle_d'_Aosta
|
| gptkbp:bfsLayer |
5
|