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Workshop
Graph Neural Networks Go Forward-Forward
Daniele Paliotta · Mathieu Alain · Bálint Máté · François Fleuret
Workshop
Predicting Galaxy Interloper Fraction with GNNs
Elena Massara · Francisco Villaescusa · Will Percival
Workshop
Maximally Expressive GNNs for Outerplanar Graphs
Franka Bause · Fabian Jogl · Patrick Indri · Tamara Drucks · David Penz · Nils M. Kriege · Thomas Gärtner · Pascal Welke · Maximilian Thiessen
Workshop
Towards Particle Flow Event Reconstruction at the Future Circular Collider with GNNs
Dolores Garcia · Gregor Kržmanc · Philipp Zehetner · Jan Kieseler · Michele Selvaggi
Workshop
PAN: Expressiveness of GNNs with Paths
Caterina Graziani · Tamara Drucks · Monica Bianchini · Franco Scarselli · Thomas Gärtner
Workshop
Subgraphormer: Subgraph GNNs meet Graph Transformers
Guy Bar Shalom · Beatrice Bevilacqua · Haggai Maron
Workshop
One Node Per User: Node-Level Federated Learning for Graph Neural Networks
zhidong gao · Yuanxiong Guo · Yanmin Gong
Workshop
How does over-squashing affect the power of GNNs?
Francesco Di Giovanni · T. Konstantin Rusch · Michael Bronstein · Andreea-Ioana Deac · Marc Lackenby · Siddhartha Mishra · Petar Veličković
Workshop
Prot2Text: Multimodal Protein's Function Generation with GNNs and Transformers
Hadi Abdine · Michail Chatzianastasis · Costas Bouyioukos · Michalis Vazirgiannis
Workshop
Fri 14:10 Spotlight: Prot2Text: Multimodal Protein’s Function Generation with GNNs and Transformers
Hadi Abdine · Michail Chatzianastasis · Costas Bouyioukos · Michalis Vazirgiannis
Poster
Wed 8:45 Layer-Neighbor Sampling --- Defusing Neighborhood Explosion in GNNs
Muhammed Fatih Balin · Ümit Çatalyürek
Poster
Tue 8:45 Optimizing over trained GNNs via symmetry breaking
Shiqiang Zhang · Juan Campos · Christian Feldmann · David Walz · Frederik Sandfort · Miriam Mathea · Calvin Tsay · Ruth Misener