.. _apimodelgnn:

Graph Neural Networks for Updating Node/Edge Representations
============================================================

All models based on graph neural networks start with updating node/edge representations.
We introduce various GNN models implemented in DGL-LifeSci for representation update.

.. contents:: Contents
    :local:

AttentiveFP
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.. automodule:: dgllife.model.gnn.attentivefp
    :members:

GAT
---
.. automodule:: dgllife.model.gnn.gat
    :members:

GATv2
---
.. automodule:: dgllife.model.gnn.gatv2
    :members:

GCN
---
.. automodule:: dgllife.model.gnn.gcn
    :members:

MGCN
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.. automodule:: dgllife.model.gnn.mgcn
    :members:

MPNN
----
.. automodule:: dgllife.model.gnn.mpnn
    :members:

SchNet
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.. automodule:: dgllife.model.gnn.schnet
    :members:

Weave
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.. automodule:: dgllife.model.gnn.weave
    :members:

GIN
---
.. automodule:: dgllife.model.gnn.gin
    :members:

GraphSAGE
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.. automodule:: dgllife.model.gnn.graphsage
    :members:

WLN
---
.. automodule:: dgllife.model.gnn.wln
    :members:

GNNOGB
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.. automodule:: dgllife.model.gnn.gnn_ogb
    :members:

NF
--
.. automodule:: dgllife.model.gnn.nf
    :members:

PAGTN
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.. automodule:: dgllife.model.gnn.pagtn
    :members: