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Feature Table
Network Base Plug-in version 4.0.1.v201908131226 by KNIME AG, Zurich, Switzerland
Writes selected features of the incoming network to a
data table.
A one value column table represents all values in own column. It also contains a feature type column (e.g. string, float, ...) and a feature name column. Example of a one value column table:
| Feature target | Graph id | Edge id | Node id | Feature name | Feature type | Feature value |
|---|---|---|---|---|---|---|
| graph | ID | ? | ? | Description | string | Bla bla bla |
| node | ID | ? | Node1 | label | string | Label1 |
| edge | ID | Edge1 | ? | weight | float | 1.0 |
| end | ID | Edge1 | Node2 | is_target | boolean | true |
A table with separate value columns contains for each value a separate column. The example table from above would look like the following:
| Feature target | Graph id | Edge id | Node id | Description | label | weight | is_target |
|---|---|---|---|---|---|---|---|
| graph | ID | ? | ? | Bla bla bla | ? | ? | ? |
| node | ID | ? | Node1 | ? | Label1 | ? | ? |
| edge | ID | Edge1 | ? | ? | ? | 1.0 | ? |
| end | ID | Edge1 | Node2 | ? | ? | ? | is_target |
Options
- Features
- The selected features are written to the output table.
- Table type
- The separate value column option contains for each value a separate column whereas the one value column type contains one creates a table that contains the feature name and value in one column. In a wide table each feature has its own column.
- Node id
- The optional column that contains the id of the nodes to extract the feature values for. If node and edge id column are given they are treated as an end object.
- Edge id
- The optional column that contains the id of the edges to extract the feature values for. If node and edge id column are given they are treated as an end object.
Input Ports
Output Ports
Best Friends (Incoming)
- Edge Table (8 %)
- Node Table (8 %)
- Row Filter (5 %) Streamable
- Image Features (5 %)
- Feature Inserter (5 %)
- Multi Feature Inserter (5 %)
- Network Reader (5 %)
- FeatureTextReader (3 %)
- File Reader (3 %) Streamable
- Table Creator (3 %)
- k-Means (3 %)
- Column Filter (3 %) Streamable
- Joiner (3 %)
- Column Rename (3 %) Streamable
- String Manipulation (3 %) Streamable
- Transpose (3 %)
- Rule-based Row Splitter (3 %) Streamable
- Distance Matrix Calculate (3 %)
Strings To Document(3 %) StreamableDeprecated- Segment Features (3 %)
- Row To Network (3 %)
- Edge Degree Filter (3 %)
- Node Degree Filter (3 %)
- Partition Filter (3 %)
- Object Inserter (3 %)
- Feature Table (3 %)
- Matrix to Network (3 %)
- Assign Partition (3 %)
- Partition Graph Creator (3 %)
- Viz Input Connector (3 %)
- Twitter Timeline (3 %) Streamable
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Best Friends (Outgoing)
- Joiner (13 %)
- Color Manager (9 %)
PCA(4 %) Deprecated- Column Filter (4 %) Streamable
- Row Filter (4 %) Streamable
- GroupBy (4 %)
- Set Operator (4 %)
- Ungroup (4 %) Streamable
- Rule-based Row Filter (4 %) Streamable
- Visualization Property Extractor (4 %)
- Size Manager (4 %)
- Math Formula (4 %) Streamable
- Node Name Filter (4 %)
- Feature Inserter (4 %)
- Object Inserter (4 %)
- Feature Table (4 %)
- Assign Partition (4 %)
- Network Viewer (4 %)
- Add Table To R (4 %)
- RDKit Interactive Table (4 %)
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Workflows
02_Filtering_in_Networks- 04_Networks_and_Prediction
- 05_DrugBank_Network_analysis
- 07_Pubmed_Author_Network_Analysis
- 09_Schools_Wiki_Partition_Analysis
- 03_Applying_Text_and_Network_Analysis_Techniques_to_Forums
- Show all 6 workflows
Installation
To use this node in KNIME, install KNIME Network Mining from the following update site:
KNIME 4.0
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Developers
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