What's Next?
| Date | Topic | Speaker |
|---|---|---|
| 15/10/2021 | Open Graph Benchmark | Antonio Longa |
| 29/10/2021 | GraphGym | Gabriele Santin |
| 12/11/2021 | Price graphs: Stock prediction using financial time series | Francesco Lomonaco |
| 03/12/2021 | Heterogeneous graph learning | Giovanni Pellegrini |
| 10/12/2021 | Advanced mini-batching | Antonio Longa |
| 17/12/2021 | Memory-Efficient aggregations | Gabriele Santin |
Tutorials
01
Open Graph Benchmark (OGB)
Introduction to the Open Graph Benchmark for standardized graph ML evaluation.
02
GraphGym
Exploring GraphGym for configurable and reproducible graph neural network experiments.
03
Price Graphs
Utilizing structural information of financial time series for stock prediction.
04
Heterogeneous Graph Learning
Learning on graphs with multiple node and edge types.
05
Advanced Mini-batching
Advanced techniques for efficient mini-batch training on graph data.
06
Memory-Efficient Aggregations
Optimizing memory usage in graph neural network aggregation operations.