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OpenDAS
dgl
Commits
329d718e
Unverified
Commit
329d718e
authored
Mar 19, 2024
by
Muhammed Fatih BALIN
Committed by
GitHub
Mar 19, 2024
Browse files
[GraphBolt][Doc] Correct typo to fix rendering issue. (#7224)
parent
9632ab1d
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python/dgl/graphbolt/impl/fused_csc_sampling_graph.py
python/dgl/graphbolt/impl/fused_csc_sampling_graph.py
+1
-1
python/dgl/graphbolt/impl/neighbor_sampler.py
python/dgl/graphbolt/impl/neighbor_sampler.py
+2
-2
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python/dgl/graphbolt/impl/fused_csc_sampling_graph.py
View file @
329d718e
...
@@ -754,7 +754,7 @@ class FusedCSCSamplingGraph(SamplingGraph):
...
@@ -754,7 +754,7 @@ class FusedCSCSamplingGraph(SamplingGraph):
"""Sample neighboring edges of the given nodes and return the induced
"""Sample neighboring edges of the given nodes and return the induced
subgraph via layer-neighbor sampling from the NeurIPS 2023 paper
subgraph via layer-neighbor sampling from the NeurIPS 2023 paper
`Layer-Neighbor Sampling -- Defusing Neighborhood Explosion in GNNs
`Layer-Neighbor Sampling -- Defusing Neighborhood Explosion in GNNs
<https://
arxiv.org/abs/2210.13339
>`__
<https://
proceedings.neurips.cc/paper_files/paper/2023/file/51f9036d5e7ae822da8f6d4adda1fb39-Paper-Conference.pdf
>`__
Parameters
Parameters
----------
----------
...
...
python/dgl/graphbolt/impl/neighbor_sampler.py
View file @
329d718e
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@@ -536,9 +536,9 @@ class LayerNeighborSampler(NeighborSamplerImpl):
...
@@ -536,9 +536,9 @@ class LayerNeighborSampler(NeighborSamplerImpl):
Specifies whether consecutive minibatches should use similar random
Specifies whether consecutive minibatches should use similar random
variates. Results in a higher temporal access locality of sampled
variates. Results in a higher temporal access locality of sampled
nodes and edges. Setting it to :math:`
\\
kappa` slows down the change in
nodes and edges. Setting it to :math:`
\\
kappa` slows down the change in
the random variates proportional to :math:`
\f
rac{1}{
\\
kappa}`. Implements
the random variates proportional to :math:`
\
\
frac{1}{
\\
kappa}`. Implements
the dependent minibatching approach in `arXiv:2310.12403
the dependent minibatching approach in `arXiv:2310.12403
<https://arxiv.org/abs/2310.12403>__.
<https://arxiv.org/abs/2310.12403>
`
__.
Examples
Examples
-------
-------
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