1
2
Assuntos:
“...Graph-based methods...”
Constrained graph-based semi-supervised learning with higher order regularization
Tese
3
Assuntos:
“...Graph-based algorithms...”
Graph based algorithms to efficiently map VLSI circuits with simple cells
Tese
4
Assuntos:
“...Graph-based learning...”
Prediction of cancer driver genes with graph neural networks : a comparative analysis and a graph convolutional network-based model
Dissertação
5
“..., é computacionalmente custoso e muitas vezes inviável. Métodos de Graph Embedding são usados para encontrar...”
A semantic rank-based graph embedding
Dissertação
6
Assuntos:
“...Graph neural networks...”
Music representation learning based on heterogeneous graph
Tese
7
Assuntos:
“...Graph-based segmentation...”
A new calibration approach to graph-based semantic segmentation
Dissertação
8
Assuntos:
“...Graph Grammars...”
Occurrence graph grammars with negative application conditions
Dissertação
9
Assuntos:
“...graph neural networks...”
Learning centrality measures with graph neural networks
Dissertação
10
11
Assuntos:
“...Graph-cut segmentation...”
Graph-based image segmentation with shape priors and Local Band constraints
Tese
12
Assuntos:
“...Graph leural networks...”
Scalable Losses in Session-based Recommendation Systems with Deep Learning Architectures
Dissertação
13
14
15
“... in information sciences. Despite this, there is little guidance on how to build high-quality taxonomies, with...”
Ontologically correct taxonomies by construction: a graph grammar-based approach
Dissertação
16
Assuntos:
“...Graph neural networks...”
Graph neural networks for clinical risk prediction based on patient similarity graphs
Dissertação
17
“... baseada na análise de regras de associação extraídas do test-case-based call graph....”
Test-case-based call graph construction in dynamically typed programming languages
Dissertação
18
Assuntos:
“...Graph deep learning...”
An application of graph neural networks on topic modelling with bi-partite graphs
Dissertação
19
“.... We developed a classification system based on a Graph Convolutional Neural Network to sort out infant skeleton...”
Graphs of growth : detecting infant movement anomalies with graph convolutional networks
Dissertação
20
Assuntos:
“...Graph Embedding...”
Modeling Pharmacological Effects with Multi-Relation Unsupervised Graph Embedding
Dissertação