- Youtube, Lecture Notes
- ‘Graphs are a general language for describing and analyzing entities with relations/interactions’ → So, it’s useful to represent the relational data.
- Several Graph Machine learning tasks:
- Tasks are specified depend on levels(E.g.) node level, edge level, sub-graph level, graph level
- Term and components
- Components of graph
- Directed vs Undirected Graph
- Node degree
- Represent Graph
- Adjacency matrix
→ Improper for sparse matrix(or structure) - Adjacency(Edge) list
- Adjacency matrix
- We can add various options on nodes and edges
- Components of graph
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