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Bronstein, Michael

  1. LLMs can hide text in other text of the same length
    2025/10/22 by Antonio Norelli, Norelli, Antonio, Michael Bronstein +1 · 17 voices
    Computer Science · #Spam and Phishing Detection #Topic Modeling #Adversarial Robustness in Machine Learning
  2. Temporal Graph Networks for Deep Learning on Dynamic Graphs
    2020/06/18 by Emanuele Rossi, Rossi, Emanuele, Ben Chamberlain +9 · 61 citations
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #Graph Theory and Algorithms
  3. A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems
    2023/12/12 by Alexandre Duval, Simon V. Mathis, Duval, Alexandre +19 · 2 voices · 15 citations
    Materials Science · Physics and Astronomy · #Nuclear Physics and Applications #X-ray Diffraction in Crystallography #cs.AI #cs.LG #q-bio.QM #stat.ML
  4. SE(3)-Stochastic Flow Matching for Protein Backbone Generation
    2023/10/03 by Avishek Joey Bose, Bose, Avishek Joey, Tara Akhound-Sadegh +19 · 3 voices · 36 citations
    Biochemistry, Genetics and Molecular Biology · Engineering · #cs.LG #cs.AI
  5. Structure-based Drug Design with Equivariant Diffusion Models
    2022/10/24 by Arne Schneuing, Charles B. Harris, Schneuing, Arne +22 · 44 citations
    Computer Science · Medicine · Biochemistry, Genetics and Molecular Biology · #Computational Drug Discovery Methods #Monoclonal and Polyclonal Antibodies Research #Cancer-related gene regulation
  6. Why do LLMs attend to the first token?
    2025/04/03 by Federico Barbero, Barbero, Federico, Álvaro Arroyo +11 · 3 voices · 31 citations
    #cs.CL
  7. On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology
    2023/02/06 by Francesco Di Giovanni, Di Giovanni, Francesco, Lorenzo Giusti +9 · 29 citations
    Computer Science · Engineering · #Advanced Memory and Neural Computing #Artificial Intelligence (cs.AI) #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stochastic Gradient Optimization Techniques
  8. SIGN: Scalable Inception Graph Neural Networks
    2020/04/23 by Fabrizio Frasca, Frasca, Fabrizio, Emanuele Rossi +9 · 24 citations
    Computer Science · #Advanced Graph Neural Networks #Adversarial Robustness in Machine Learning #Advanced Neural Network Applications
  9. Weisfeiler and Lehman Go Cellular: CW Networks
    2021/06/23 by Cristian Bodnar, Bodnar, Cristian, Fabrizio Frasca +11 · 17 citations
    Computer Science · Materials Science · #Advanced Graph Neural Networks #Computational Drug Discovery Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science
  10. Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems
    2023/07/17 by Xuan Zhang, Zhang, Xuan, Limei Wang +123 · 1 voice · 18 citations
    #cs.LG #physics.comp-ph
  11. Weisfeiler and Lehman Go Topological: Message Passing Simplicial\n Networks
    2021/03/04 by Cristian Bodnar, Fabrizio Frasca, Bodnar, Cristian +11 · 15 citations
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI) #Topological and Geometric Data Analysis
  12. GraphText: Graph Reasoning in Text Space
    2023/10/02 by Zhao, Jianan, Zhuo, Le, Shen, Yikang +5 · 20 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  13. Temporal Graph Benchmark for Machine Learning on Temporal Graphs
    2023/07/03 by Shenyang Huang, Farimah Poursafaei, Huang, Shenyang +17 · 19 citations
    Computer Science · Decision Sciences · Social Sciences · #Advanced Graph Neural Networks #Data Quality and Management #Human Mobility and Location-Based Analysis
  14. Metric Flow Matching for Smooth Interpolations on the Data Manifold
    2024/05/23 by Kacper Kapuśniak, Kapuśniak, Kacper, Peter Potaptchik +15 · 2 voices · 19 citations
    Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Methods and Algorithms #cs.LG #stat.ML
  15. Edge Directionality Improves Learning on Heterophilic Graphs
    2023/05/17 by Rossi, Emanuele, Charpentier, Bertrand, Di Giovanni, Francesco +3 · 16 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
  16. Equivariant 3D-Conditional Diffusion Models for Molecular Linker Design
    2022/10/11 by Ilia Igashov, H. Stärk, Igashov, Ilia +13 · 14 citations
    Biochemistry, Genetics and Molecular Biology · #Protein Structure and Dynamics #RNA Research and Splicing #Genomics and Chromatin Dynamics
  17. Locality-Aware Graph-Rewiring in GNNs
    2023/10/02 by Federico Barbero, Ameya Velingker, Barbero, Federico +7 · 12 citations
    Computer Science · Engineering · Neuroscience · #Advanced Graph Neural Networks #Advanced Memory and Neural Computing #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Machine Learning (cs.LG)
  18. Position: Topological Deep Learning is the New Frontier for Relational Learning
    2024/02/14 by Theodore Papamarkou, Papamarkou, Theodore, Tolga Birdal +41 · 16 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Cell Image Analysis Techniques #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topological and Geometric Data Analysis
  19. On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features
    2021/11/23 by Emanuele Rossi, Rossi, Emanuele, Henry Kenlay +9 · 8 citations
    Computer Science · #Advanced Graph Neural Networks #Topic Modeling #Recommender Systems and Techniques
  20. DRew: Dynamically Rewired Message Passing with Delay
    2023/05/13 by Benjamin Gutteridge, Gutteridge, Benjamin, Xiaowen Dong +5 · 8 citations
    Engineering · Neuroscience · #Advanced Memory and Neural Computing #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neuroscience and Neural Engineering
  21. Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild
    2020/04/04 by Kulon, Dominik, Güler, Riza Alp, Kokkinos, Iasonas +2 · 5 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  22. Fisher Flow Matching for Generative Modeling over Discrete Data
    2024/05/23 by Oscar Davis, Samuel Kessler, Davis, Oscar +7 · 11 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Time Series Analysis and Forecasting
  23. Curvature Filtrations for Graph Generative Model Evaluation
    2023/01/30 by Joshua Southern, Southern, Joshua, Jeremy Wayland +5 · 2 voices · 2 citations
    #cs.LG #math.AT #stat.ML
  24. Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Backbone Generation
    2024/05/30 by Guillaume Huguet, Huguet, Guillaume, James Vuckovic +21 · 10 citations
    Biochemistry, Genetics and Molecular Biology · Medicine · #Biomolecules (q-bio.BM) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Monoclonal and Polyclonal Antibodies Research #Protein purification and stability #Viral Infectious Diseases and Gene Expression in Insects
  25. Sheaf Neural Networks with Connection Laplacians
    2022/06/17 by Federico Barbero, Barbero, Federico, Cristian Bodnar +9 · 6 citations
    Computer Science · Engineering · Neuroscience · #Advanced Numerical Analysis Techniques #Algebraic Topology (math.AT) #Brain Tumor Detection and Classification #Differential Geometry (math.DG) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Neural Networks and Applications
  26. SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator
    2019/11/13 by Shunwang Gong, Gong, Shunwang, Lei Chen +5 · 4 citations
    Computer Science · Engineering · #3D Shape Modeling and Analysis #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Machine Learning (cs.LG)
  27. Fully-inductive Node Classification on Arbitrary Graphs
    2024/05/30 by Jianan Zhao, Zhaocheng Zhu, Zhao, Jianan +9 · 8 citations
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
  28. Cooperative Graph Neural Networks
    2023/10/02 by Ben Finkelshtein, Finkelshtein, Ben, Xingyue Huang +5 · 8 citations
    Computer Science · Engineering · #Advanced Graph Neural Networks #Advanced Memory and Neural Computing #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Stochastic Gradient Optimization Techniques
  29. Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction
    2024/10/10 by Rector-Brooks, Jarrid, Hasan, Mohsin, Peng, Zhangzhi +9 · 7 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  30. On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning
    2025/02/15 by Álvaro Arroyo, Alessio Gravina, Arroyo, Álvaro +13 · 11 citations
    Computer Science · Neuroscience · #Advanced Graph Neural Networks #Brain Tumor Detection and Classification #Machine Learning and ELM
  31. Relaxed Equivariance via Multitask Learning
    2024/10/23 by Ahmed A. Elhag, T. Konstantin Rusch, Elhag, Ahmed A. +6 · 1 voice · 4 citations
    Computer Science · #Machine Learning and Algorithms #Neural Networks and Applications #Seismology and Earthquake Studies #cs.LG
  32. Matrix Completion on Graphs
    2014/08/07 by Kalofolias, Vassilis, Bresson, Xavier, Bronstein, Michael +1 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  33. Understanding Virtual Nodes: Oversquashing and Node Heterogeneity
    2024/05/22 by Joshua Southern, Southern, Joshua, Francesco Di Giovanni +5 · 5 citations
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Advanced Neural Network Applications #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG)
  34. Homomorphism Counts for Graph Neural Networks: All About That Basis
    2024/02/13 by Emily Jin, Michael Bronstein, Michael M. Bronstein +6 · 2 voices · 3 citations
    Computer Science · #Advanced Graph Neural Networks #Neural Networks and Applications #cs.LG
  35. RetroBridge: Modeling Retrosynthesis with Markov Bridges
    2023/08/30 by Ilia Igashov, Igashov, Ilia, Arne Schneuing +7 · 5 citations
    Computer Science · Engineering · Materials Science · #Biomolecules (q-bio.BM) #Computational Drug Discovery Methods #FOS: Biological sciences #FOS: Computer and information sciences #Innovative Microfluidic and Catalytic Techniques Innovation #Machine Learning (cs.LG) #Machine Learning in Materials Science #Quantitative Methods (q-bio.QM)
  36. MeshGAN: Non-linear 3D Morphable Models of Faces
    2019/03/25 by Cheng, Shiyang, Bronstein, Michael, Zhou, Yuxiang +3 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  37. DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models
    2024/08/08 by Ding, Zifeng, Li, Yifeng, He, Yuan +5 · 4 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  38. Homomorphism Counts as Structural Encodings for Graph Learning
    2024/10/24 by Bao, Linus, Emily Jin, Michael M. Bronstein +6 · 4 citations
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Text and Document Classification Technologies
  39. Hyperbolic Deep Reinforcement Learning
    2022/10/04 by Edoardo Cetin, Cetin, Edoardo, Benjamin Chamberlain +5 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
  40. Efficient Deformable Shape Correspondence via Kernel Matching
    2017/07/25 by Zorah Lähner, Lähner, Zorah, Matthias Vestner +19 · 2 citations
    Engineering · Computer Science · #3D Shape Modeling and Analysis #Advanced Image and Video Retrieval Techniques #Advanced Vision and Imaging
  41. Robust Principal Component Analysis on Graphs
    2015/04/23 by Shahid, Nauman, Kalofolias, Vassilis, Bresson, Xavier +2 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  42. From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module
    2023/05/25 by Claudio Battiloro, Battiloro, Claudio, Indro Spinelli +9 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Bioinformatics and Genomic Networks #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
  43. Evidence of social learning across symbolic cultural barriers in sperm whales
    2023/07/07 by Leitão, António, Lucas, Maxime, Poetto, Simone +5 · 2 citations
    #Applications (stat.AP) #FOS: Computer and information sciences #Social and Information Networks (cs.SI)
  44. Deformable Shape Completion with Graph Convolutional Autoencoders
    2017/12/01 by Litany, Or, Bronstein, Alex, Bronstein, Michael +1 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  45. Equivariance Everywhere All At Once: A Recipe for Graph Foundation Models
    2025/06/17 by Ben Finkelshtein, Finkelshtein, Ben, İsmail İlkan Ceylan +5 · 7 citations
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Social and Information Networks (cs.SI)
  46. ncRNA Classification with Graph Convolutional Networks
    2019/05/16 by Emanuele Rossi, Federico Monti, Rossi, Emanuele +5 · 1 citation
    Biochemistry, Genetics and Molecular Biology · #RNA and protein synthesis mechanisms #Machine Learning in Bioinformatics #RNA modifications and cancer
  47. Privacy-Aware Recommender Systems Challenge on Twitter's Home Timeline
    2020/04/28 by Luca Belli, Belli, Luca, Sofia Ira Ktena +27 · 1 citation
    Computer Science · Social Sciences · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy, Security, and Data Protection #Recommender Systems and Techniques #Social and Information Networks (cs.SI) #Spam and Phishing Detection
  48. Towards Quantifying Long-Range Interactions in Graph Machine Learning: a Large Graph Dataset and a Measurement
    2025/03/12 by Huidong Liang, Haitz Sáez de Ocáriz Borde, Liang, Huidong +8 · 1 voice · 3 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Advanced Graph Neural Networks #Bioinformatics and Genomic Networks #Graph Theory and Algorithms #cs.AI #cs.LG
  49. Multi-domain Distribution Learning for De Novo Drug Design
    2025/08/25 by Schneuing, Arne, Igashov, Ilia, Dobbelstein, Adrian W. +3 · 9 citations
    #Biomolecules (q-bio.BM) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG)
  50. Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization
    2022/02/14 by Mutti, Mirco, De Santi, Riccardo, Rossi, Emanuele +3 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  51. On the Impact of Sample Size in Reconstructing Graph Signals
    2023/07/01 by Sripathmanathan, Baskaran, Dong, Xiaowen, Bronstein, Michael · 1 citation
    #FOS: Computer and information sciences #FOS: Electrical engineering #Signal Processing (eess.SP) #Social and Information Networks (cs.SI) #electronic engineering #information engineering
  52. MarS-FM: Generative Modeling of Molecular Dynamics via Markov State Models
    2025/09/29 by Kapuśniak, Kacper, Gabellini, Cristian, Bronstein, Michael +2 · 2 citations
    #Biomolecules (q-bio.BM) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG)
  53. Enhancing the Expressivity of Temporal Graph Networks through Source-Target Identification
    2024/11/06 by Benedict Aaron Tjandra, Federico Barbero, Tjandra, Benedict Aaron +3 · 2 citations
    Computer Science · #Advanced Graph Neural Networks
  54. GradMetaNet: An Equivariant Architecture for Learning on Gradients
    2025/07/02 by Gelberg, Yoav, Eitan, Yam, Navon, Aviv +5 · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  55. Topological Blindspots: Understanding and Extending Topological Deep Learning Through the Lens of Expressivity
    2024/08/10 by Yam Eitan, Eitan, Yam, Yoav Gelberg +9 · 2 citations
    Neuroscience · #Algebraic Topology (math.AT) #Cognitive Science and Education Research #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  56. Efficient Regression-Based Training of Normalizing Flows for Boltzmann Generators
    2025/06/01 by Rehman, Danyal, Davis, Oscar, Lu, Jiarui +5 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  57. Generative Active Learning for the Search of Small-molecule Protein Binders
    2024/05/02 by Korablyov, Maksym, Liu, Cheng-Hao, Jain, Moksh +31 · 1 citation
    #Artificial Intelligence (cs.AI) #Biomolecules (q-bio.BM) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG)
  58. Bringing Graphs to the Table: Zero-shot Node Classification via Tabular Foundation Models
    2025/09/08 by Adrian Hayler, Xingyue Huang, Hayler, Adrian +7 · 5 citations
    Computer Science · Decision Sciences · #Advanced Graph Neural Networks #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare
  59. OXtal: An All-Atom Diffusion Model for Organic Crystal Structure Prediction
    2025/12/07 by Emily Jin, Andrei Cristian Nica, Jin, Emily +19 · 1 voice · 1 citation
    Materials Science · Chemistry · Computer Science · #Machine Learning in Materials Science #Crystallography and molecular interactions #Computational Drug Discovery Methods
  60. Flock: A Knowledge Graph Foundation Model via Learning on Random Walks
    2025/10/01 by Kim, Jinwoo, Huang, Xingyue, Olejniczak, Krzysztof +4 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  61. Balancing Efficiency and Expressiveness: Subgraph GNNs with Walk-Based Centrality
    2025/01/06 by Southern, Joshua, Eitan, Yam, Bar-Shalom, Guy +3 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
  62. Neural Spacetimes for DAG Representation Learning
    2024/08/25 by Haitz Sáez de Ocáriz Borde, Anastasis Kratsios, Borde, Haitz Sáez de Ocáriz +7 · 1 citation
    Computer Science · #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Metric Geometry (math.MG) #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE)