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1
Hands-On Graph Neural Networks Using Python: Practical techniques and architectures
Packt Publishing Pvt Ltd
Maxime Labonne
graph
node
nodes
dataset
graphs
import
networks
figure
acc
gnn
matrix
function
epoch
features
neural
network
gnns
layer
architecture
embeddings
accuracy
implement
gcn
previous
techniques
edges
classification
random
neighbors
values
linear
pytorch
edge_index
temporal
traffic
edge
adjacency
layers
output
implementing
batch
geometric
heterogeneous
dim_h
prediction
models
range
input
datasets
walks
年:
2023
語言:
english
文件:
EPUB, 15.09 MB
你的標籤:
0
/
5.0
english, 2023
2
Hands-On Graph Neural Networks Using Python: Practical techniques and architectures
Packt
Maxime Labonne
graph
node
nodes
dataset
graphs
networks
import
neural
figure
gnn
matrix
function
gnns
acc
features
network
layer
embeddings
architecture
epoch
gcn
accuracy
implement
techniques
random
classification
previous
traffic
edges
temporal
pytorch
heterogeneous
implementing
linear
neighbors
values
edge
edge_index
adjacency
layers
introducing
geometric
output
node2vec
batch
dim_h
walks
deepwalk
prediction
graphsage
年:
2023
語言:
english
文件:
PDF, 35.45 MB
你的標籤:
0
/
0
english, 2023
3
Hands-On Graph Neural Networks Using Python: Practical techniques and architectures
Packt Publishing
Maxime Labonne
graph
node
nodes
dataset
graphs
import
networks
figure
acc
gnn
matrix
function
epoch
features
neural
network
gnns
layer
architecture
embeddings
accuracy
implement
gcn
previous
techniques
edges
classification
random
neighbors
values
linear
pytorch
edge_index
temporal
traffic
edge
adjacency
layers
output
implementing
batch
geometric
heterogeneous
dim_h
prediction
models
range
input
datasets
walks
年:
2023
語言:
english
文件:
EPUB, 15.09 MB
你的標籤:
0
/
0
english, 2023
4
Hands-On Graph Neural Networks Using Python
Packt Publishing Ltd.
Maxime Labonne
graph
node
nodes
dataset
graphs
networks
import
neural
figure
gnn
matrix
function
gnns
acc
features
network
layer
embeddings
architecture
epoch
gcn
accuracy
implement
techniques
random
classification
previous
traffic
edges
temporal
pytorch
heterogeneous
implementing
linear
neighbors
values
edge
edge_index
adjacency
layers
introducing
geometric
output
node2vec
batch
dim_h
walks
deepwalk
prediction
graphsage
年:
2023
語言:
english
文件:
PDF, 35.45 MB
你的標籤:
5.0
/
5.0
english, 2023
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