Validated case study · Graph ML

Humach Graph: Node Classification

Reason about graph structure, node features, message passing and leakage across connected data.

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node_iddegreeactivitycommunitytarget
150.2911
280.3820
330.4700
460.5611
590.6520
640.7400
770.8311
820.9220
950.200
1080.2911
1130.3820
1260.4700
1390.5611
1440.6520
1570.7400
1620.8311
1750.9220
1880.200
1930.2911
2060.3820
2190.4700
2240.5611
2370.6520
2420.7400
2550.8311
2680.9220
2730.200
2860.2911
2990.3820
3040.4700
30 rows5 columnsmini_graph.csv
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Numeric and decision tasks are auto-checked. Written reasoning is checked for completeness and key ideas, then included in your local submission report.

0/5 validated
01

How many nodes are in the node table?

02

How many nodes have target=1?

03

What is mean node degree?

04

After two message-passing layers, a node representation can depend on approximately…

05

Describe one way a random node split can leak information in a graph setting.

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