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285 symbols 1,032 edges 52 files 48 documented · 17%
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README

TabGNN

The code for our paper “TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction)” and this paper has been accepted by dlp-kdd 2021.

Core symbols most depended-on inside this repo

fit
called by 16
data/data_encoders.py
run_script_with_kwargs
called by 13
experiments/utils.py
get_act
called by 10
models/GNN/GNNModelBase.py
clean_data
called by 9
data/data_encoders.py
get_norm
called by 7
models/GNN/GNNModelBase.py
get_db_info
called by 6
data/utils.py
get_ds_info
called by 6
data/utils.py
fit
called by 5
data/data_encoders.py

Shape

Method 162
Function 71
Class 52

Languages

Python100%

Modules by API surface

data/data_encoders.py83 symbols
models/losses.py24 symbols
utils.py19 symbols
models/GNN/GCN.py17 symbols
models/GNN/GAT.py16 symbols
data/utils.py16 symbols
models/readouts.py15 symbols
models/utils.py13 symbols
models/GNN/HAN.py9 symbols
models/GNN/GNNModelBase.py8 symbols
data/TabularDataset.py8 symbols
data/DatabaseDataset.py8 symbols

For agents

$ claude mcp add TabGNN \
  -- python -m otcore.mcp_server <graph>

⬇ download graph artifact