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Deep Learning Final Project

Analysis of Graph Attention Networks and Graph Neural Networks in Node and Graph-Level Tasks. Compared and optimized three different graph based models - Graph Attention Network(GAT), Graph Convolution Network(GCN) and GraphSage.

Results:

  • GAT Validation Accuracy - 81%
  • GraphSage Validation Accuracy - 79%
  • GCN Validation Accuracy - 77%
  • Best optimizer for all three was ADAM

Wandb:

Contributors:

  • Vishwa Gopalakrishnan
  • Aditya Krishna
  • Ohm Patel