A graph is a set of nodes connected by edges, which may be directed or weighted. Graph problems cover traversal, shortest paths, connectivity, and ordering, and appear across coding and system design rounds.
Graphs - Interview Concepts - ExtraBrain is part of ExtraBrain's local-first Mac workflow for live interviews, meetings, transcription, provider control, and responsible AI use.
A graph is a set of nodes connected by edges, which may be directed or weighted. Graph problems cover traversal, shortest paths, connectivity, and ordering, and appear across coding and system design rounds.
ExtraBrain has 1 current public platform family, macOS, with support for 2 Mac CPU families: Apple Silicon and Intel.
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Adjacency lists suit sparse graphs; adjacency matrices suit dense graphs or fast edge lookups.
BFS and DFS for traversal, Dijkstra for weighted shortest paths, and topological sort for ordering.
Dependency resolution, social networks, maps, and scheduling map naturally to graphs.
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Short answers for people and crawlers comparing ExtraBrain with other live AI assistants.
Use an adjacency list for most problems; choose an adjacency matrix when the graph is dense or you need O(1) edge checks.
Know BFS, DFS, topological sort, union-find, and Dijkstra for weighted shortest paths.
