Pytorch Geometric with Matthias Fey

Matthias Fey is the creator of the Pytorch Geometric library and a postdoctoral researcher in deep learning at TU Dortmund Germany. He is a core contributor to the Open Graph Benchmark dataset initiative in collaboration with Stanford University Professor Jure Leskovec.

00:00 Intro

00:50 Pytorch Geometric Inception  

02:57  Graph NNs vs CNNs, Transformers, RNNs

05:00  Implementation of GNNs as an extension of other ANNs 

08:15  Image Synthesis from Textual Inputs as GNNs 

10:48  Image classification Implementations on augmented Data in GNNs 

13:40  Multimodal Data implementation in GNNs 

16:25  Computational complexity of GNN Models

18:55  GNNAuto Scale Paper, Big Data Scalability

24:39  Open Graph Benchmark Dataset Initiative with Stanford, Jure Leskovec and Large Networks

30:14 PyG in production, Biology, Chemistry and Fraud Detection 

33:10 Solving Cold Start Problem in Recommender Systems using GNNs

38:21 German Football League, Bundesliga & Playing in Best team of Worst League 

41:54  Pytorch Geometric in ICLR and NeurIPS and rise in GNN-based papers 

43:27 Intrusion Detection, Anomaly Detection, and Social Network Monitoring as GNN implementation 

46:10  Raw data conversion to Graph format as Input in PyG

50:00 Boilerplate templates for PyG for Citizen Data Scientists 

53:37 GUI for beginners and Get Started Wizards  

56:43  AutoML for PyG and timeline for Tensorflow Version  

01:02:40 Explainability concerns in PyG and GNNs in general

01:04:40 CSV files in PyG and Structured Data Explainability

01:06:32 Playing Bass, Octoberfest & 99 Red Balloons 

01:09:50 Collaboration with Stanford, OGB & Core Team

01:15:25 Leaderboards on Benchmark Datasets at OGB Website, Arvix Dataset 

01:17:11 Datasets from outside Stanford, Harvard, Facebook etc  

01:19:00  Kaggle vs Self-owned Competition Platform 

01:20:00 Deploying Arvix Model for Recommendation of Papers

01:22:40 Future Directions of Research 

01:26:00 Collaborations, Jurgen Schmidthuber & Combined Research 

01:27:30 Sharing Office with a Dog, 2 Rabbits and How to train Cats


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