| Presenter |
Papers |
Paper URL |
Our Slides |
| Scalable |
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling |
Pdf |
Ryan PDF + Arshdeep Pdf |
| Scalable |
MILE: A Multi-Level Framework for Scalable Graph Embedding |
Pdf |
Ryan PDF |
| Scalable |
LanczosNet: Multi-Scale Deep Graph Convolutional Networks |
Pdf |
Ryan PDF |
| Scalable |
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis |
Pdf |
Derrick PDF |
| Scalable |
Towards Federated learning at Scale: System Design |
URL |
Derrick PDF |
| Scalable |
DNN Dataflow Choice Is Overrated |
PDF |
Derrick PDF |
| Scalable |
Towards Efficient Large-Scale Graph Neural Network Computing |
Pdf |
Derrick PDF |
| Scalable |
PyTorch Geometric |
URL |
|
| Scalable |
PyTorch BigGraph |
URL |
|
| Scalable |
Simplifying Graph Convolutional Networks |
Pdf |
|
| Scalable |
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks |
Pdf |
|