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In models/README.md, recommend MtAlbis.
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PiperOrigin-RevId: 617512268
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arnoegw authored and tensorflower-gardener committed Mar 20, 2024
1 parent 90331a1 commit 84c5400
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3 changes: 3 additions & 0 deletions tensorflow_gnn/models/README.md
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Expand Up @@ -44,3 +44,6 @@ versioning](https://semver.org/spec/v2.0.0.html) of the TF-GNN package.
multi-head attention on graph (Dwivedi&Bresson, 2021).
* [VanillaMPNN](vanilla_mpnn/README.md): TF-GNN's classic baseline model,
based on (Gilmer&al., 2016).

Unsure? For generic node prediction tasks on relational data, we recommend
to start with MtAlbis.
7 changes: 1 addition & 6 deletions tensorflow_gnn/models/gcn/BUILD
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Expand Up @@ -7,12 +7,7 @@ package(
default_visibility = [":__subpackages__"],
)

package_group(
name = "users",
packages = [
"//third_party/google_research/google_research/ugsl/...",
],
)
package_group(name = "users")

pytype_strict_library(
name = "gcn",
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13 changes: 3 additions & 10 deletions tensorflow_gnn/models/mt_albis/BUILD
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Expand Up @@ -7,16 +7,12 @@ package(
default_visibility = [":__subpackages__"],
)

package_group(name = "users")

# This is the public BUILD target for users of this model.
pytype_strict_library(
name = "mt_albis",
srcs = ["__init__.py"],
srcs_version = "PY3",
visibility = [
":__subpackages__",
":users",
],
visibility = ["//visibility:public"],
deps = [
":config_dict",
":layers",
Expand All @@ -29,10 +25,7 @@ pytype_strict_library(
pytype_strict_library(
name = "hparams_vizier",
srcs = ["hparams_vizier.py"],
visibility = [
":__subpackages__",
":users",
],
visibility = ["//visibility:public"],
deps = [
"//:expect_vizier_service_pyvizier_installed",
],
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