Academically speaking, what\'s the essential difference between the data structure Tree and Graph? And how about the tree based search and Graph based search?
Trees are obvious: they're recursive data structures consisting of nodes with children.
Map (aka dictionary) are key/value pairs. Give a map a key and it will return the associated value.
Maps can be implemented using trees, I hope you don't find that confusing.
UPDATE: Confusing "graph" for "map" is very confusing.
Graphs are more complex than trees. Trees imply recursive parent/child relationships. There are natural ways to traverse a tree: depth-first, breadth-first, level-order, etc.
Graphs can have uni-directional or bi-directional paths between nodes, be cyclic or acyclic, etc. I would consider graphs to be more complex.
I think a cursory search in any decent data structures text (e.g. "Algorithms Design Manual") would give more and better information than any number of SO answers. I would recommend that you not take the passive route and start doing some research for yourself.