Knowledge Graphs Demo
This demo visualizes a knowledge graph and highlights potential data issues, offering
interactive tools to inspect and fix them.
Knowledge graph data are typically stored as triples (subject–predicate–object). Because
triples can come from different sources and formats, common problems include duplicated
nodes, edges connected to the wrong endpoints, and isolated nodes.
Use the right panel to locate detected problems and apply fixes directly. Alternatively,
select nodes or edges in the graph and use the context menu (right‑click) to repair them.
Things to try
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Open the right sidebar to see a list of detected problems. For each problem, you can
either zoom to the affected node(s) or apply an automatic fix.
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Merge duplicated nodes (copy_all) to
consolidate identical entities into a single node.
-
Remove isolated nodes (error) that are not
connected to the rest of the graph.
-
Fix edges with incorrect endpoints (warning) by
selecting the edge and reconnecting its ports to the correct node(s).
-
Switch layout with the Teams view toolbar button: This groups nodes
that belong to the same team next to each other for easier inspection.
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Use the Triplet Filtering panel to filter-out or fade-out parts of the
graph based on selected triples (subject, predicate, or object).
Graph Properties
Graph Nodes: 809
Graph Edges: 1588