for data in test_loader:
    # Get classifications
    _, out_gcn = gcn(data.x, data.edge_index, data.batch)
    _, out_gin = gin(data.x, data.edge_index, data.batch)
    out = (out_gcn + out_gin)/2

    # Calculate accuracy scores
    acc_gcn += accuracy(out_gcn.argmax(dim=1), data.y) / len(test_loader)
    acc_gin += accuracy(out_gin.argmax(dim=1), data.y) / len(test_loader)
    acc += accuracy(out.argmax(dim=1), data.y) / len(test_loader)