Post #789

Graph ML News (Aug 25th) The autumn edition of the Molecular ML Conference (MoML) going to take place on Nov 8th at MIT. MoML is a premier venue for bringing together graph learning and life sciences crowd including computation biology, drug discovery, computational chemistry, molecular simulation, and many more. Submit a poster until Oct 13th! Not an official announcement, but there are rumors that the Stanford Graph Learning Seminar will return on Oct 11th as well 😉 Expect a flurry of ICLR submissions in the next weeks before the deadline, but meanwhile the weekend reading is: UGSL: A Unified Framework for Benchmarking Graph Structure Learning by Google Research feat. Bahare Fatemi, Anton Tsitsulin and Bryan Perozzi Simulate Time-integrated Coarse-grained Molecular Dynamics with Multi-scale Graph Networks feat. Xiang Fu, Tommi Jaakkola Approximately Equivariant Graph Networks by Teresa Huang, Ron Levie, and Soledad Villar Will More Expressive Graph Neural Networks do Better on Generative Tasks? (spoiler alert: nopes) feat. Pietro Liò The Expressive Power of Graph Neural Networks: A Survey