| Index |
Papers |
Our Slides |
| 1 |
Graph Convolutions: More than You Wanted to Know |
Derrick Survey |
| 2 |
Spectral Graph Sparsification |
Derrick Survey |
| 3 |
Complexity Analysis of Graph Convolutional Networks and in Attention based GNN |
Derrick Survey |
| 4 |
PyTorch-BigGraph: A Large-Scale Graph Embedding System |
Derrick Survey |
| 5 |
Scalable GNN Updates: More About PyTorch Geometric (PyG) |
Derrick Survey |
| 6 |
Time and Space Complexity of Graph Convolutional Networks |
Derrick Survey |
| 7 |
Large Scale GNN and Transformer Models and for Genomics |
Jack Survey |
| 8 |
Long Range Attention and Visualizing BERT |
Jak Survey |
| 9 |
Benchmarking Graph Neural Networks |
Sanchit Survey |