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Michael Bronstein

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University of Oxford

Homomorphism Counts for Graph Neural Networks: All About That Basis

Feb 15, 2024
Emily Jin, Michael Bronstein, Ismail Ilkan Ceylan, Matthias Lanzinger

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Position Paper: Challenges and Opportunities in Topological Deep Learning

Feb 14, 2024
Theodore Papamarkou, Tolga Birdal, Michael Bronstein, Gunnar Carlsson, Justin Curry, Yue Gao, Mustafa Hajij, Roland Kwitt, Pietro Liò, Paolo Di Lorenzo, Vasileios Maroulas, Nina Miolane, Farzana Nasrin, Karthikeyan Natesan Ramamurthy, Bastian Rieck, Simone Scardapane, Michael T. Schaub, Petar Veličković, Bei Wang, Yusu Wang, Guo-Wei Wei, Ghada Zamzmi

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Future Directions in Foundations of Graph Machine Learning

Feb 03, 2024
Christopher Morris, Nadav Dym, Haggai Maron, İsmail İlkan Ceylan, Fabrizio Frasca, Ron Levie, Derek Lim, Michael Bronstein, Martin Grohe, Stefanie Jegelka

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A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems

Dec 12, 2023
Alexandre Duval, Simon V. Mathis, Chaitanya K. Joshi, Victor Schmidt, Santiago Miret, Fragkiskos D. Malliaros, Taco Cohen, Pietro Lio, Yoshua Bengio, Michael Bronstein

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Can strong structural encoding reduce the importance of Message Passing?

Oct 22, 2023
Floor Eijkelboom, Erik Bekkers, Michael Bronstein, Francesco Di Giovanni

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Advective Diffusion Transformers for Topological Generalization in Graph Learning

Oct 10, 2023
Qitian Wu, Chenxiao Yang, Kaipeng Zeng, Fan Nie, Michael Bronstein, Junchi Yan

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SE(3)-Stochastic Flow Matching for Protein Backbone Generation

Oct 03, 2023
Avishek Joey Bose, Tara Akhound-Sadegh, Kilian Fatras, Guillaume Huguet, Jarrid Rector-Brooks, Cheng-Hao Liu, Andrei Cristian Nica, Maksym Korablyov, Michael Bronstein, Alexander Tong

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Locality-Aware Graph-Rewiring in GNNs

Oct 02, 2023
Federico Barbero, Ameya Velingker, Amin Saberi, Michael Bronstein, Francesco Di Giovanni

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Cooperative Graph Neural Networks

Oct 02, 2023
Ben Finkelshtein, Xingyue Huang, Michael Bronstein, İsmail İlkan Ceylan

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