ResGatedGraphConvfrom Bresson and Laurent:Residual Gated Graph ConvNets(CoRR 2017) GINConvfrom Xuet al.:How Powerful are Graph Neural Networks?(ICLR 2019) [Example] GINEConvfrom Huet al.:Strategies for Pre-training Graph Neural Networks(ICLR 2020) ...
GatedGraphConv from Li et al.: Gated Graph Sequence Neural Networks (ICLR 2016) ResGatedGraphConv from Bresson and Laurent: Residual Gated Graph ConvNets (CoRR 2017) GINConv from Xu et al.: How Powerful are Graph Neural Networks? (ICLR 2019) [Example] GINEConv from Hu et al.: Strategies...
ResGatedGraphConvfrom Bresson and Laurent:Residual Gated Graph ConvNets(CoRR 2017) GINConvfrom Xuet al.:How Powerful are Graph Neural Networks?(ICLR 2019) [Example] GINEConvfrom Huet al.:Strategies for Pre-training Graph Neural Networks(ICLR 2020) ...
GINEConv now allows to transform edge features automatically in case their dimensionalities do not match (thanks to @CaypoH) OGB_MAG will now add node_year information to paper nodes Entities datasets do now allow the processing of HeteroData objects via the hetero=True option Batch objects can...