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[GraphBolt][PyG] Link prediction example. #7752

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merged 7 commits into from
Aug 27, 2024
Merged

[GraphBolt][PyG] Link prediction example. #7752

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be3ec77
[GraphBolt][PyG] Link prediction example.
mfbalin Aug 27, 2024
1e4bbf3
linting
mfbalin Aug 27, 2024
222942d
make more similar to DGL example.
mfbalin Aug 27, 2024
fde88d4
make pinned-pinned-cuda default and fix bugs.
mfbalin Aug 27, 2024
46f2308
make script docstring short.
mfbalin Aug 27, 2024
526aeda
Merge branch 'master' into gb_pyg_link_prediction_example
mfbalin Aug 27, 2024
da77b93
fix comments.
mfbalin Aug 27, 2024
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make more similar to DGL example.
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@mfbalin
mfbalin committed Aug 27, 2024
commit 222942d46f0069a9f0db2c7970e8fcf00911e913
8 changes: 4 additions & 4 deletions examples/graphbolt/pyg/link_prediction.py
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Expand Up @@ -272,7 +272,7 @@ def evaluate(model, graph, features, all_nodes_set, valid_set, test_set):
graph,
features,
all_nodes_set,
args.batch_size,
args.eval_batch_size,
[-1],
args.device,
job="infer",
Expand Down Expand Up @@ -370,6 +370,8 @@ def parse_args():
help="Learning rate for optimization.",
)
parser.add_argument("--neg-ratio", type=int, default=1)
parser.add_argument("--train-batch-size", type=int, default=512)
parser.add_argument("--eval-batch-size", type=int, default=1024)
parser.add_argument(
"--batch-size", type=int, default=1024, help="Batch size for training."
)
Expand Down Expand Up @@ -467,8 +469,6 @@ def main():
all_nodes_set = dataset.all_nodes_set
args.fanout = list(map(int, args.fanout.split(",")))

num_classes = dataset.tasks[0].metadata["num_classes"]

if args.gpu_cache_size > 0 and args.feature_device != "cuda":
features._features[("node", None, "feat")] = gb.gpu_cached_feature(
features._features[("node", None, "feat")],
Expand All @@ -479,7 +479,7 @@ def main():
graph=graph,
features=features,
itemset=train_set,
batch_size=args.batch_size,
batch_size=args.train_batch_size,
fanout=args.fanout,
device=args.device,
job="train",
Expand Down
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