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feat(ml): node emdedding, node classify and graph classify with models based on DGL - #83
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imbajin
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imbajin
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Also note the py-lint ci failed
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pylint failed for the |
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It's a bit strange, let me take a look (Most of the issues should indeed be fixed, and if they are unnecessary, they should be eliminated) |
…-ai into multigraph
The relevant information of a single graph is obtained directly through DGLGraph
add example test specifies that the dataset is uppercase update README.md
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…s based on DGL (apache#83) * feat(ml): add the basic structure of integrated DGL * feat(ml): add jknet&grand examples and uni-test * doc(ml): add requirements.txt * doc(ml): update README.md * chore: fix review suggestions * fix(ml): add license header for pyproject.toml * fix(ml): unix-style cmd path & reformat the files * feat(ml): enable convert multi-graph hugegraph2dgl & dgl2hugegraph * fix(ml): set default user to "" & add pylint ci for hugegraph-ml * fix(ml): dgl&torch version in requirements.txt for linux * fix(ml): fix dependency & pylint * feat(ml): encapsulate convert a DGL graph by vertices and edges * feat(ml): enable convert a graph dataset from hugegraph * refact(ml): do not return graph info dict The relevant information of a single graph is obtained directly through DGLGraph * refact(ml): change param {DATASET}_graph_vertex for convert graph * test(ml): add examples test add example test specifies that the dataset is uppercase update README.md * fix: "str | None" for py3.9 * feat(ml): add diffpool, gin(global_pool) model and example * fix(ml): test teardown & pylint * fix(ml): torch version vulnerability * feat(ml): add import hetero graph to hg (utils) * feat(ml): enable convert hetero graph from hugegraph * refact(ml): move train/val/test mask data to vertex props * feat(ml): batch import graph data from dgl --------- Co-authored-by: imbajin <jin@apache.org>
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This PR is derived from the project of GLCC2024: https://www.gitlink.org.cn/hugegraph/hugegraph/wiki?wiki=graph-ai-1
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