Installation
Introduction
Citing
Data Structures
Data Classes
Benchmark Datasets
Node Splitting
Edge Splitting
Real-World Data Set Descriptions
Directed Unsigned Real-World Data Sets
Signed Real-World Data Sets
Case Study Examples
Case Study on Signed Networks
Case Study on Directed Networks
External Resources
External Resources - Architectures
External Resources - Synthetic Data Generators
External Resources - Real-World Data Sets
PyTorch Geometric Signed Directed Models
Directed (Unsigned) Network Models and Layers
Signed (Directed) Network Models and Layers
Auxiliary Methods and Layers
PyTorch Geometric Signed Directed Data Generators and Data Loaders
Data Classes
Data Generators
Data Loaders
PyTorch Geometric Signed Directed Utils
Task-Specific Objectives and Evaluation Methods
Utilities and Preprocessing Methods
PyTorch Geometric Signed Directed
torch_geometric_signed_directed.utils.signed.create_spectral_features
View page source
torch_geometric_signed_directed.utils.signed.create_spectral_features
Functions
create_spectral_features
(→ torch.FloatTensor)
Module Contents
create_spectral_features
(
pos_edge_index
:
torch.LongTensor
,
neg_edge_index
:
torch.LongTensor
,
node_num
:
int
,
dim
:
int
)
→
torch.FloatTensor