69f5869f3b6d190ed99e156a932634393ab361dd,python/dgl/nn/pytorch/conv/sageconv.py,SAGEConv,__init__,#SAGEConv#Any#Any#Any#Any#Any#Any#Any#,50

Before Change

        if aggregator_type == "pool":
            self.fc_pool = nn.Linear(self._in_src_feats, self._in_src_feats)
        if aggregator_type == "lstm":
            self.lstm = nn.LSTM(self._in_src_feats, self._in_src_feats, batch_first=True)
        if aggregator_type != "gcn":
            self.fc_self = nn.Linear(self._in_dst_feats, out_feats, bias=bias)
        self.fc_neigh = nn.Linear(self._in_src_feats, out_feats, bias=bias)
        self.reset_parameters()

After Change

        if aggregator_type == "lstm":
            self.lstm = nn.LSTM(self._in_src_feats, self._in_src_feats, batch_first=True)
        if aggregator_type != "gcn":
            self.fc_self = nn.Linear(self._in_dst_feats, out_feats, bias=bias)
        self.fc_neigh = nn.Linear(self._in_src_feats, out_feats, bias=bias)
        self.reset_parameters()

    def reset_parameters(self):

Instances