GraphML News (Feb 3rd) - DGL 2.0 ⚡

All ICML deadlines have passed - congratulations to all who made it through the sleepless nights over the last week! We will start seeing some fresh submissions relatively soon on social media (among 10k submitted papers and ~220 position papers)

Meanwhile, DGL 2.0 was released featuring GraphBolt - a new tool for streaming data loading and sampling offering around 30% speedups in node classification and up to 400% in link prediction 🚀 Besides that, the new version includes utilities for building graph transformers and a handful of new datasets - LRGB and a recent suite of heterophilic datasets

The AppliedML Days @ EPFL will take place on March 25 and 26th - the call for the AI and Molecular world track is still open

Weekend reading:

Combinatorial prediction of therapeutic perturbations using causally-inspired neural networks by Guadalupe Gonzalez feat Michael Bronstein and Marinka Zitnik - introduces PDGrapher, a causally-inspired GNN model to predict therapeutically useful perturbagens

VC dimension of Graph Neural Networks with Pfaffian activation functions by D’Inverno et al - extension of the WL meets VC paper to new non-linearities like sigmoid and hyperbolic tangent

NetInfoF Framework: Measuring and Exploiting Network Usable Information (still anon by accepted to ICLR’24) - introduces the “network usable information” and a fingerpring-like approach to quantity the gains brought by a GNN model compared to a non-GNN baselne.