mindspore_gl.nn
APIs for graph convolutions.
API Name |
Description |
Supported Platforms |
Attention Based Graph Neural Network. |
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Approximate Personalization Propagation in Neural Prediction Layers. |
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Attention Based Spatial-Temporal Graph Convolutional Networks. |
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Apply average pooling to the nodes in the batched graph. |
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CFConv in SchNet. |
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Chebyshev Spectral Graph Convolution layer. |
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Applying a dot product version of self-attention in GAT. |
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EdgeConv layer. |
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Efficient Graph Convolution. |
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Graph Attention Network. |
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Gated Graph Convolution Layer. |
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Graph Attention Network v2. |
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Graph Convolution Network Layer. |
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Graph Convolution Network Layer. |
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Graph isomorphic network layer. |
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Apply global attention pooling to the nodes in the graph. |
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Gaussian mixture model convolutional layer. |
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GNN Cell class. |
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Apply maximum pooling to the nodes in the batched graph. |
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GraphSAGE Layer. |
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Graph convolutional layer. |
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GraphSAGE Layer. |
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The self-attention pooling operator. |
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Sequence to sequence for sets. |
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Simplified Graph convolutional layer. |
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Apply sort pooling to the nodes in the graph. |
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Spatial-Temporal Graph Convolutional layer. |
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Apply sum pooling to the nodes in the batched graph. |
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Topology adaptation graph convolutional layer. |
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Calculates importance weights for nodes and performs weighted sums. |
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