Weekly Reading Group on Graphs at Mila
Organizer: Andreea Deac
Date | Topic | Presenters | Slides |
---|---|---|---|
27th February, 2020 | Deep Graph Mapper: Seeing Graphs through the Neural Lens | Cristian Bodnar, Catalina Cangea | Slides |
13rd February, 2020 | Continuous Graph Neural Networks | Louis-Pascal Xhonneux | Slides |
16th January, 2020 | Automatic Protein Annotation using Domain Similarity Graph | Bishnu Sarker | Slides |
Date | Topic | Presenters | Slides |
---|---|---|---|
5th December, 2019 | Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks | Sitao Luan | |
28th November, 2019 | Graph Neural Networks for Real Time Large Network Re-Scheduling | Erik Nygren and Christian Eichenberger | |
21st November, 2019 | Understanding Attention and Generalization in Graph Neural Networks | Boris Knyazev | Slides |
7th November, 2019 | Graph neural networks for molecular graphs: pitfalls and prospects | Emmanuel Noutahi | |
31st October, 2019 | Meta-Graph: Few Shot Link Prediction via Meta-Learning | Joey Bose | Slides |
24th October, 2019 | Neural Execution of Graph Algorithms | Petar Velickovic | Slides |
10th October, 2019 | Dynamically Pruned Message Passing Networks for Large-scale Knowledge Graph Reasoning | Zhaocheng Zhu | Slides |
3rd October, 2019 | Probabilistic Logic Neural Networks for Reasoning | Meng Qu | Slides |
26th September, 2019 | Empowering graph representation learning with paired training and graph co-attention | Andreea Deac | Slides |
19th September, 2019 | Efficient Graph Generation with Graph Recurrent Attention Networks | Renjie Liao | Slides |
12th September, 2019 | Crystal structures and crumpled sheets | Jordan Hoffmann |