8433f850562b711cb2271bc24c81e1916bb5d48e,torch_geometric/nn/functional/gcn.py,,gcn,#Any#Any#Any#Any#,6

Before Change

    // features = tf.multiply(tf.multiply(degree, features), degree)
    // features = tf.transpose(features)
    output = mm(output, weight)
    output += torch.mm(features, weight)

    if bias is not None:
        output += bias

After Change

def gcn(adj, input, weight, bias=None):
    n, m = adj.size()

    I = eye(n, m)
    adj = adj + I

Instances