Implment get_as_torch_geometric
#1200
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| LIST = "LIST" | ||
| NODE = "NODE" | ||
| REL = "REL" | ||
| NODE_ID = "NODE_ID" |
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Update NODE_ID once Ziyi's PR is in.
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| PRIMARY_KEY_SYMBOL = "(PRIMARY KEY)" | ||
| LIST_SYMBOL = "[]" | ||
| result_str = self.query_result.connection._connection.get_node_property_names( |
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This comment is beyond this PR, but let me document it here:
The parsing here makes me think that our cpp interface string Connection::getNodePropertyNames(const string& tableName) is incorrect. Instead of returning a string, it's better to return vector<string>, each inside which is a property name. The caller (shell) shall be responsible to organize them in a printable way.
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| # Ignore primary key | ||
| if node_property_names[prop_name]["is_primary_key"]: |
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Why not put primary_key prop_name also into the ignored properties?
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Ignored property is not read at all, but for primary key, it still needs to be read as we need to maintain the pos_to_primary_key_dict. I have changed the comment to Read primary key but do not add it to the node properties.
| from enum import Enum | ||
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| class Type(Enum): |
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Is there a way that we don't need to maintain a separate mapping in Python?
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As discussed in #1189, pybind11 has a memory leakage bug when binding enum class. We can change this Enum to binding after the bug is fixed.
ray6080
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the
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This PR implements a function
get_as_torch_geometric()which converts the query result into atorch_geometric.dataobject.Principles:
NODEandRELs are converted. Selected properties, such asa.isWorkeris ignored.INT64andBOOLtypes. Other types are ignored. Multi-dimensional lists are supported as long as the dimension is consistent and there is no sub-list of different length.torch.Tensor.