khanmhmdi / gat-graph-attention-neural-network- Goto Github PK
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License: MIT License
This repository contain the unofficial implementation of the graph attention neural network.
License: MIT License
After reading the attention mechanism we could give the numerical example on that and explain it to others as well as they understand without any background information about it.
Don't forget to learn all the mathematical approaches behind that coding.
After reading the main article (https://arxiv.org/pdf/1710.10903.pdf) we have to able to architecture the code and main approach and idea of that. use divide and conquer approach for solving big problems:). GOOD LUCK BRO
For reaching the advanced level of this type of neural network we need to work on coding more than theatrical.
For implemntation we need to learn some basic libraries like DGL , ... . You need to first do some basic operations and code one little project using those libraries for achieving better results at the end.
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