TortillasAlfred / Mila-Graph-Reading-Group

Weekly reading group on Graph Representation Learning at Mila

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Weekly Reading Group on Graphs at Mila

Organizer: Andreea Deac

2020

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

2019

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

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Weekly reading group on Graph Representation Learning at Mila

License:MIT License