UNIT 016 h allocated
Graph foundations
- Nodes and edges
- directed graphs
- attributes
- topology
← Course catalogue
MACHINE LEARNING / SPECIALIST
ML260Graph machine learning & knowledge graphs
24 h productive allocation9 h 36 m learning + 14 h 24 m training4 units · 1 assessed practical brief
Detailed course plan and training brief. A complete taught course pack is in preparation. The linked foundation module, where shown, is a smaller available resource.
BEFORE YOU BEGIN
A clear starting point.
Specialist studio; environment and faculty must be confirmed before scheduling
WHAT YOU SHOULD BE ABLE TO DEMONSTRATE
- Explain the assumptions and failure modes in graph foundations.
- Complete the practical: create a synthetic asset graph and compare a graph-based predictor with a non-graph baseline.
- Defend the resulting graph schema with reproducible evidence.
THE SUBJECTS / FOUR CONNECTED UNITS
What you will study.
UNIT 026 h allocated
Graph learning
- Message passing
- aggregation
- node classification
- link prediction
UNIT 036 h allocated
Knowledge representation
- Triples
- schemas
- entity resolution
- graph queries
UNIT 046 h allocated
Evaluation
- Transductive versus inductive settings
- leakage
- negative edges
- temporal graphs
THE TRAINING STUDIO
Make the subject
visible in your work.
Create a synthetic asset graph and compare a graph-based predictor with a non-graph baseline.
Evidence to produce
- Graph schema
- split protocol
- baseline and model comparison
Training brief for supervised delivery. Code, datasets, answer keys and environment acceptance must be completed in the full course pack before delivery is confirmed.
ASSESS THE REASONING
A question you
should be able to answer.
How can edges inadvertently expose test information?
Review dimensions
Technical correctness · reproducibility · interpretation of results · failure analysis · individual explanation. Course-level rubric and faculty moderation form part of the final adopted teaching pack.
External reference access, hardware, cloud accounts and paid services are separate. No third-party certification is included by implication.