DGL
1.1.3
Get Started
Install and Setup
A Blitz Introduction to DGL
Advanced Materials
User Guide
用户指南
사용자 가이드
🆕 Tutorials: dgl.sparse
Stochastic Training of GNNs
Training on CPUs
Training on Multiple GPUs
Distributed training
Paper Study with DGL
API Reference
dgl
dgl.data
dgl.dataloading
dgl.DGLGraph
dgl.distributed
dgl.function
dgl.geometry
dgl.nn (PyTorch)
Conv Layers
CuGraph Conv Layers
Dense Conv Layers
Global Pooling Layers
Score Modules for Link Prediction and Knowledge Graph Completion
Heterogeneous Learning Modules
Utility Modules
Sequential
WeightBasis
KNNGraph
SegmentedKNNGraph
RadiusGraph
JumpingKnowledge
NodeEmbedding
GNNExplainer
HeteroGNNExplainer
SubgraphX
HeteroSubgraphX
LabelPropagation
DegreeEncoder
BiasedMultiheadAttention
EGTLayer
GraphormerLayer
PathEncoder
SpatialEncoder
SpatialEncoder3d
SpatialEncoder3d
Network Embedding Modules
Utility Modules for Graph Transformer
dgl.nn (TensorFlow)
dgl.nn (MXNet)
dgl.nn.functional
dgl.ops
dgl.optim
dgl.sampling
🆕 dgl.sparse
dgl.multiprocessing
dgl.transforms
User-defined Functions
Notes
Contribute to DGL
DGL Foreign Function Interface (FFI)
Performance Benchmarks
Misc
Frequently Asked Questions (FAQ)
Environment Variables
Resources
DGL
dgl.nn (PyTorch)
SpatialEncoder3d
View page source
SpatialEncoder3d
class
dgl.nn.pytorch.graph_transformer.
SpatialEncoder3d
(
*
args
:
Any
,
**
kwargs
:
Any
)
Bases:
Read the Docs
v: latest
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