Xander WilckeNov 29, 2023
Currently listening to an interesting talk on neural graphs at #LearningOnGraphs Amsterdam. Is this the next direction for graph learning?
Adrian Arnaiz RodriguezDec 6, 2022

"DiffWire: Inductive Graph Rewiring via the Lovász bound" has been accepted at the
#LearningOnGraphs conference!

Check this out if you are curious about Graph Rewiring using GNNs. Rewiring is one important technique to overcome current GNN limitations. We propose a theoretical framework for rewiring that is principled, differentiable, inductive, and parameter-free

📄Paper: https://openreview.net/forum?id=IXvfIex0mX6f

🤖Code: https://github.com/AdrianArnaiz/DiffWire

DiffWire: Inductive Graph Rewiring via the Lovász Bound

We propose DiffWire, a unifying GNN rewiring method that is parameter-free and differentiable.

OpenReview
Adrian Arnaiz RodriguezNov 12, 2022

📢 I'm very excited to announce that our tutorial on "Graph Rewiring: from Theory to Applications in Fairness" is accepted in #LearningOnGraphs #LoG conference (Dec 11th) 😄 Francisco Escolano and me will be presenting 2h of theory and hands on content!

But that's not all, we will run a amazing panel discussion. It wil be moderated by Nuria Oliver with the participation of Marinka Zitnik, Petar Velickovic, Francesco Fabbri and Francesco Di Giovanni.

More info (schedule, webpage...) soon 📢