compositional_graph_models/models.py
def forward(self, graph: dgl.DGLGraph) -> torch.Tensor:
        """
        Given a DGLGraph (possibly batched), produce one binary logit per batch graph.
        """
        raise NotImplementedError

        Given a DGLGraph (possibly batched), produce one binary logit per batch graph.
        
Given a DGLGraph (possibly batched), produce one binary logit per batch graph.
Given a DGLGraph ( possibly batched ) produce one binary logit per batch graph .
def forward(self, graph: dgl.DGLGraph) -> torch.Tensor:
        raise NotImplementedError
def forward ( self , graph : dgl . DGLGraph ) -> torch . Tensor : raise NotImplementedError
Given a DGLGraph (possibly batched), produce one binary logit per batch graph.
Given a DGLGraph ( possibly batched ) produce one binary logit per batch graph .
"""
        Given a DGLGraph (possibly batched), produce one binary logit per batch graph.
        """
self
graph
dgl.DGLGraph