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Add ggcm method as example #8186

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Add ggcm method as example #8186

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aa8db66
add ggcm method
xYix Oct 12, 2023
fdb1c6c
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Oct 12, 2023
a09cc08
update changelog
xYix Oct 12, 2023
f7401a9
t :Merge branch 'master' of https://github.com/xYix/pytorch_geometric
xYix Oct 12, 2023
fb77be6
fix ci test
xYix Oct 12, 2023
f57e2df
fix function name
xYix Oct 13, 2023
b6c2457
Merge branch 'master' into master
xYix Oct 13, 2023
bed0cb9
Merge branch 'master' into master
xYix Oct 16, 2023
9051a51
Merge branch 'master' into master
xYix Oct 17, 2023
11bcc68
qwq
Jul 16, 2024
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fix function name
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@xYix
xYix committed Oct 13, 2023
commit f57e2dff4ec3ff7ae8b3c5e0c6e7c6b60aac0a0b
4 changes: 2 additions & 2 deletions examples/ggcm.py
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Expand Up @@ -51,7 +51,7 @@
avg_edge_num += 1


def inver_graph_convolution(neg_graph: Tensor):
def inverse_graph_convolution(neg_graph: Tensor):
change_num = args.change_num # interchange edges for how many times
if neg_graph is None:
regular_graph = networkx.random_regular_graph(d=avg_edge_num,
Expand Down Expand Up @@ -110,7 +110,7 @@ def ggcm(degree: int, alpha: float, decline: float,
embedds = torch.sparse.mm(lazy_adj, U)

# inverse graph convlution (IGC), lazy version
neg_adj_nor, neg_graph = inver_graph_convolution(neg_graph)
neg_adj_nor, neg_graph = inverse_graph_convolution(neg_graph)
inv_lazy_adj = lazy_random_walk(neg_adj_nor, neg_beta)
inv_embedds = torch.sparse.mm(inv_lazy_adj, U)

Expand Down