def test_1hop(self): """ Test case for sample 1 hop neighbor with strategy of edge_weight. All the src_ids have neighbors. """ expand_factor = 6 ids = self._seed_node1_ids nbr_s = self.g.neighbor_sampler(self._edge1_type, expand_factor=expand_factor, strategy="edge_weight") nbrs = nbr_s.get(ids) edges = nbrs.layer_edges(1) nodes = nbrs.layer_nodes(1) utils.check_fixed_edge_dst_ids(edges, dst_range=self._node2_range, expected_src_ids=ids) utils.check_edge_type(edges, src_type=self._node1_type, dst_type=self._node2_type, edge_type=self._edge1_type) utils.check_edge_shape(edges, ids.size * expand_factor) utils.check_edge_attrs(edges) utils.check_edge_labels(edges) utils.check_equal(nodes.ids, edges.dst_ids) utils.check_node_ids(nodes, self._node2_ids) utils.check_node_type(nodes, node_type=self._node2_type) utils.check_node_shape(nodes, ids.size * expand_factor) utils.check_node_weights(nodes) utils.check_node_labels(nodes)
def test_1hop_using_gsl(self): """ Using gsl api. """ gl.set_eager_mode(True) expand_factor = 6 ids = self._seed_node1_ids nbrs = self.g.V(self._node1_type, feed=ids) \ .outE(self._edge1_type).sample(expand_factor).by("in_degree") \ .inV().emit() edges = nbrs[1] nodes = nbrs[2] utils.check_fixed_edge_dst_ids(edges, dst_range=self._node2_range, expected_src_ids=ids) utils.check_edge_type(edges, src_type=self._node1_type, dst_type=self._node2_type, edge_type=self._edge1_type) utils.check_edge_shape(edges, ids.size * expand_factor) utils.check_edge_attrs(edges) utils.check_edge_labels(edges) utils.check_equal(nodes.ids, edges.dst_ids) utils.check_node_ids(nodes, self._node2_ids) utils.check_node_type(nodes, node_type=self._node2_type) utils.check_node_shape(nodes, ids.size * expand_factor) utils.check_node_weights(nodes) utils.check_node_labels(nodes)
def test_1hop(self): """ Sample one hop of neighbors. """ expand_factor = 6 ids = self._seed_node1_ids nbr_s = self.g.neighbor_sampler(self._edge1_type, expand_factor=expand_factor, strategy="random") nbrs = nbr_s.get(ids) edges = nbrs.layer_edges(1) nodes = nbrs.layer_nodes(1) print(edges.src_nodes.get_out_degrees(self._edge1_type)) utils.check_fixed_edge_dst_ids(edges, dst_range=self._node2_range, expected_src_ids=ids) utils.check_edge_type(edges, src_type=self._node1_type, dst_type=self._node2_type, edge_type=self._edge1_type) utils.check_edge_shape(edges, ids.size * expand_factor) utils.check_edge_attrs(edges) utils.check_edge_labels(edges) utils.check_equal(nodes.ids, edges.dst_ids) utils.check_node_ids(nodes, self._node2_ids) utils.check_node_type(nodes, node_type=self._node2_type) utils.check_node_shape(nodes, ids.size * expand_factor) utils.check_node_weights(nodes) utils.check_node_labels(nodes)
def test_1hop_using_gsl(self): """ Test case for sample 1 hop neighbor. hetegerous graph with edge attrs, without edge weight. """ gl.set_eager_mode(True) expand_factor = 6 ids = self._seed_node1_ids nbrs = self.g.V(self._node1_type, feed=ids) \ .outE(self._edge1_type).sample(expand_factor).by("edge_weight") \ .inV().emit() edges = nbrs[1] nodes = nbrs[2] utils.check_fixed_edge_dst_ids(edges, dst_range=self._node2_range, expected_src_ids=ids) utils.check_edge_type(edges, src_type=self._node1_type, dst_type=self._node2_type, edge_type=self._edge1_type) utils.check_edge_shape(edges, ids.size * expand_factor) utils.check_edge_attrs(edges) utils.check_edge_labels(edges) utils.check_equal(nodes.ids, edges.dst_ids) utils.check_node_ids(nodes, self._node2_ids) utils.check_node_type(nodes, node_type=self._node2_type) utils.check_node_shape(nodes, ids.size * expand_factor) utils.check_node_weights(nodes) utils.check_node_labels(nodes)
def test_2hop(self): """ Sample 2 hops of neighbors. """ gl.set_eager_mode(True) expand_factor = [3, 2] ids = self._seed_node1_ids nbr_s = self.g.neighbor_sampler([self._edge1_type, self._edge2_type], expand_factor=expand_factor, strategy="in_degree") nbrs = nbr_s.get(ids) edges = nbrs.layer_edges(1) nodes = nbrs.layer_nodes(1) utils.check_fixed_edge_dst_ids(edges, dst_range=self._node2_range, expected_src_ids=ids) utils.check_edge_type(edges, src_type=self._node1_type, dst_type=self._node2_type, edge_type=self._edge1_type) utils.check_edge_shape(edges, ids.size * expand_factor[0]) utils.check_edge_attrs(edges) utils.check_edge_labels(edges) utils.check_equal(nodes.ids, edges.dst_ids) utils.check_node_ids(nodes, self._node2_ids) utils.check_node_type(nodes, node_type=self._node2_type) utils.check_node_shape(nodes, ids.size * expand_factor[0]) utils.check_node_weights(nodes) utils.check_node_labels(nodes) ids = nodes.ids.reshape(-1) edges = nbrs.layer_edges(2) nodes = nbrs.layer_nodes(2) utils.check_fixed_edge_dst_ids(edges, dst_range=self._node1_range, expected_src_ids=ids) utils.check_edge_type(edges, src_type=self._node2_type, dst_type=self._node1_type, edge_type=self._edge2_type) utils.check_edge_shape(edges, ids.size * expand_factor[1]) utils.check_edge_attrs(edges) utils.check_edge_weights(edges) utils.check_equal(nodes.ids, edges.dst_ids) utils.check_node_ids(nodes, self._node1_ids) utils.check_node_type(nodes, node_type=self._node1_type) utils.check_node_shape(nodes, ids.size * expand_factor[1])
def test_1hop_using_gremlin(self): """ Full neighbor sample with gremlin-like api. """ expand_factor = 2 ids = self._seed_node1_ids nbrs = self.g.V(self._node1_type, feed=ids) \ .outE(self._edge1_type).sample().by("full") \ .inV().emit() nodes = nbrs[2] index = 0 for node in nodes: utils.check_sorted_equal( utils.fixed_dst_ids(ids[index], self._node2_range), node.ids) index += 1 utils.check_node_ids(nodes, self._node2_ids) utils.check_node_type(nodes, node_type=self._node2_type) utils.check_node_weights(nodes) utils.check_node_labels(nodes)