项目文件夹

文件
Da Zheng 929742b588 [Feature] Reimplement Immutable graph index in DGL (#342)
* init.

* it's compiled.

* add immutable graph constructor.

* add immutable graph API.

* fix.

* impl get adjacency matrix.

* fix.

* fix graph_index from scipy matrix.

* add neighbor sampling.

* remap vertex ids.

* fix.

* move sampler test.

* fix tests.

* add comments

* remove mxnet-specific immutable graph.

* fix.

* fix lint.

* fix.

* try to fix windows compile error.

* fix.

* fix.

* add test.

* unify Graph and ImmutableGraph.

* fix bugs.

* fix compile.

* move immutable graph.

* fix.

* remove print.

* fix lint.

* fix

* fix lint.

* fix lint.

* fix test.

* fix comments.

* merge GraphIndex and ImmutableGraphIndex.

* temp fix.

* impl GetAdj.

* fix lint

* fix.

* fix.

* fix.

* fix.

* fix.

* use csr only for readonly graph.

* Revert "use csr only for readonly graph."

This reverts commit 8e24bb033af8504531b22849de5b7567b168e0d5.

* remove code.

* fix.

* fix.

* fix.

* fix.

* fix.

* fix.

* address comments.

* fix for comments.

* fix comments.

* revert.

* move test_graph_index to compute.

* fix.

* fix.

* impl GetAdj for coo.

* fix.

* fix tests.

* address comments.

* address comments.

* fix comment.

* address comments.

* use lambda.

* other comments.

* address comments.

* modify the semantics of edges.

* fix order.

* use DGLIdIter

* fix.

* remove NotImplemented.

* revert some code.
2019-01-17 09:59:53 +08:00

159 行
4.2 KiB
Python

from dgl import DGLError
from dgl.utils import toindex
from dgl.graph_index import create_graph_index
import networkx as nx
def test_edge_id():
gi = create_graph_index(multigraph=False)
assert not gi.is_multigraph()
gi = create_graph_index(multigraph=True)
gi.add_nodes(4)
gi.add_edge(0, 1)
eid = gi.edge_id(0, 1).tonumpy()
assert len(eid) == 1
assert eid[0] == 0
assert gi.is_multigraph()
# multiedges
gi.add_edge(0, 1)
eid = gi.edge_id(0, 1).tonumpy()
assert len(eid) == 2
assert eid[0] == 0
assert eid[1] == 1
gi.add_edges(toindex([0, 1, 1, 2]), toindex([2, 2, 2, 3]))
src, dst, eid = gi.edge_ids(toindex([0, 0, 2, 1]), toindex([2, 1, 3, 2]))
eid_answer = [2, 0, 1, 5, 3, 4]
assert len(eid) == 6
assert all(e == ea for e, ea in zip(eid, eid_answer))
# find edges
src, dst, eid = gi.find_edges(toindex([1, 3, 5]))
assert len(src) == len(dst) == len(eid) == 3
assert src[0] == 0 and src[1] == 1 and src[2] == 2
assert dst[0] == 1 and dst[1] == 2 and dst[2] == 3
assert eid[0] == 1 and eid[1] == 3 and eid[2] == 5
# source broadcasting
src, dst, eid = gi.edge_ids(toindex([0]), toindex([1, 2]))
eid_answer = [0, 1, 2]
assert len(eid) == 3
assert all(e == ea for e, ea in zip(eid, eid_answer))
# destination broadcasting
src, dst, eid = gi.edge_ids(toindex([1, 0]), toindex([2]))
eid_answer = [3, 4, 2]
assert len(eid) == 3
assert all(e == ea for e, ea in zip(eid, eid_answer))
gi.clear()
# the following assumes that grabbing nonexistent edge will throw an error
try:
gi.edge_id(0, 1)
fail = True
except DGLError:
fail = False
finally:
assert not fail
gi.add_nodes(4)
gi.add_edge(0, 1)
eid = gi.edge_id(0, 1).tonumpy()
assert len(eid) == 1
assert eid[0] == 0
def test_nx():
gi = create_graph_index(multigraph=True)
gi.add_nodes(2)
gi.add_edge(0, 1)
nxg = gi.to_networkx()
assert len(nxg.nodes) == 2
assert len(nxg.edges(0, 1)) == 1
gi.add_edge(0, 1)
nxg = gi.to_networkx()
assert len(nxg.edges(0, 1)) == 2
nxg = nx.DiGraph()
nxg.add_edge(0, 1)
gi = create_graph_index(nxg)
assert not gi.is_multigraph()
assert gi.number_of_nodes() == 2
assert gi.number_of_edges() == 1
assert gi.edge_id(0, 1)[0] == 0
nxg = nx.MultiDiGraph()
nxg.add_edge(0, 1)
nxg.add_edge(0, 1)
gi = create_graph_index(nxg, True)
assert gi.is_multigraph()
assert gi.number_of_nodes() == 2
assert gi.number_of_edges() == 2
assert 0 in gi.edge_id(0, 1)
assert 1 in gi.edge_id(0, 1)
nxg = nx.DiGraph()
nxg.add_nodes_from(range(3))
gi = create_graph_index(nxg)
assert gi.number_of_nodes() == 3
assert gi.number_of_edges() == 0
gi = create_graph_index()
gi.add_nodes(3)
nxg = gi.to_networkx()
assert len(nxg.nodes) == 3
assert len(nxg.edges) == 0
nxg = nx.DiGraph()
nxg.add_edge(0, 1, id=0)
nxg.add_edge(1, 2, id=1)
gi = create_graph_index(nxg)
assert 0 in gi.edge_id(0, 1)
assert 1 in gi.edge_id(1, 2)
assert gi.number_of_edges() == 2
assert gi.number_of_nodes() == 3
def test_predsucc():
gi = create_graph_index(multigraph=True)
gi.add_nodes(4)
gi.add_edge(0, 1)
gi.add_edge(0, 1)
gi.add_edge(0, 2)
gi.add_edge(2, 0)
gi.add_edge(3, 0)
gi.add_edge(0, 0)
gi.add_edge(0, 0)
pred = gi.predecessors(0)
assert len(pred) == 3
assert 2 in pred
assert 3 in pred
assert 0 in pred
succ = gi.successors(0)
assert len(succ) == 3
assert 1 in succ
assert 2 in succ
assert 0 in succ
def test_create_from_elist():
elist = [(2, 1), (1, 0), (2, 0), (3, 0), (0, 2)]
g = create_graph_index(elist)
for i, (u, v) in enumerate(elist):
assert g.edge_id(u, v)[0] == i
# immutable graph
# TODO: disabled due to torch support
#g = create_graph_index(elist, readonly=True)
#for i, (u, v) in enumerate(elist):
# print(u, v, g.edge_id(u, v)[0])
# assert g.edge_id(u, v)[0] == i
if __name__ == '__main__':
test_edge_id()
test_nx()
test_predsucc()
test_create_from_elist()