• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 182 matches

• 2024
• 
  Francesco Di Giovanni, T. Konstantin Rusch, Michael M. Bronstein, Andreea Deac, Marc Lackenby, Siddhartha Mishra, Petar Velickovic:
  How does over-squashing affect the power of GNNs? Trans. Mach. Learn. Res. 2024 (2024)
• 
  Avishek Joey Bose, Tara Akhound-Sadegh, Guillaume Huguet, Kilian Fatras, Jarrid Rector-Brooks, Cheng-Hao Liu, Andrei Cristian Nica, Maksym Korablyov, Michael M. Bronstein, Alexander Tong:
  SE(3)-Stochastic Flow Matching for Protein Backbone Generation. ICLR 2024
• 
  Haitao Mao, Jianan Zhao, Xiaoxin He, Zhikai Chen, Qian Huang, Zhaocheng Zhu, Jian Tang, Michael M. Bronstein, Xavier Bresson, Bryan Hooi, Haiyang Zhang, Xianfeng Tang, Luo Chen, Jiliang Tang:
  The 1st International Workshop on Graph Foundation Models (GFM). WWW (Companion Volume) 2024: 1789-1792
• 
  Maksym Korablyov, Cheng-Hao Liu, Moksh Jain, Almer M. van der Sloot, Eric Jolicoeur, Edward Ruediger, Andrei Cristian Nica, Emmanuel Bengio, Kostiantyn Lapchevskyi, Daniel St-Cyr, Doris Alexandra Schuetz, Victor Ion Butoi, Jarrid Rector-Brooks, Simon Blackburn, Leo Feng, Hadi Nekoei, Sai Krishna Gottipati, Priyesh Vijayan, Prateek Gupta, Ladislav Rampásek, Sasikanth Avancha, Pierre-Luc Bacon, William L. Hamilton, Brooks Paige, Sanchit Misra, Stanislaw Kamil Jastrzebski, Bharat Kaul, Doina Precup, José Miguel Hernández-Lobato, Marwin H. S. Segler, Michael M. Bronstein, Anne Marinier, Mike Tyers, Yoshua Bengio:
  Generative Active Learning for the Search of Small-molecule Protein Binders. CoRR abs/2405.01616 (2024)
• 
  Dominic LaBella, Ujjwal Baid, Omaditya Khanna, Shan McBurney-Lin, Ryan McLean, Pierre Nedelec, Arif Rashid, Nourel Hoda Tahon, Talissa Altes, Radhika Bhalerao, Yaseen Dhemesh, Devon Godfrey, Fathi Hilal, Scott Floyd, Anastasia Janas, Anahita Fathi Kazerooni, John Kirkpatrick, Collin Kent, Florian Kofler, Kevin Leu, Nazanin Maleki, Bjoern H. Menze, Maxence Pajot, Zachary J. Reitman, Jeffrey D. Rudie, Rachit Saluja, Yury Velichko, Chunhao Wang, Pranav Warman, Maruf Adewole, Jake Albrecht, Udunna Anazodo, Syed Muhammad Anwar, Timothy Bergquist, Sully F. Chen, Verena Chung, Gian Marco Conte, Farouk Dako, James A. Eddy, Ivan Ezhov, Nastaran Khalili, Juan Eugenio Iglesias, Zhifan Jiang, Elaine Johanson, Koen Van Leemput, Hongwei Bran Li, Marius George Linguraru, Xinyang Liu, Aria Mahtabfar, Zeke Meier, Ahmed W. Moawad, John Mongan, Marie Piraud, Russell Takeshi Shinohara, Walter F. Wiggins, Aly H. Abayazeed, Rachel Akinola, András Jakab, Michel Bilello, Maria Correia de Verdier, Priscila Crivellaro, Christos Davatzikos, Keyvan Farahani, John B. Freymann, Christopher Hess, Raymond Y. Huang, Philipp Lohmann, Mana Moassefi, Matthew W. Pease, Philipp Vollmuth, Nico Sollmann, David Diffley, Khanak K. Nandolia, Daniel I. Warren, Ali Hussain, Pascal Fehringer, Yulia Bronstein, Lisa Deptula, Evan G. Stein, Mahsa Taherzadeh, Eduardo Portela de Oliveira, Aoife Haughey, Marinos Kontzialis, Luca Saba, Benjamin Turner, Melanie M. T. Brüßeler, Shehbaz Ansari, Athanasios Gkampenis, David Maximilian Weiss, Aya Mansour, Islam H. Shawali, Nikolay Yordanov, Joel M. Stein, Roula Hourani, Mohammed Yahya Moshebah, Ahmed Magdy Abouelatta, Tanvir Rizvi, Klara Willms, Dann C. Martin, Abdullah Okar:
  Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge. CoRR abs/2405.09787 (2024)
• 
  Oscar Davis, Samuel Kessler, Mircea Petrache, Ismail Ilkan Ceylan, Michael M. Bronstein, Avishek Joey Bose:
  Fisher Flow Matching for Generative Modeling over Discrete Data. CoRR abs/2405.14664 (2024)
• 
  Kacper Kapusniak, Peter Potaptchik, Teodora Reu, Leo Zhang, Alexander Tong, Michael M. Bronstein, Avishek Joey Bose, Francesco Di Giovanni:
  Metric Flow Matching for Smooth Interpolations on the Data Manifold. CoRR abs/2405.14780 (2024)
• 
  Guillaume Huguet, James Vuckovic, Kilian Fatras, Eric Thibodeau-Laufer, Pablo Lemos, Riashat Islam, Cheng-Hao Liu, Jarrid Rector-Brooks, Tara Akhound-Sadegh, Michael M. Bronstein, Alexander Tong, Avishek Joey Bose:
  Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Backbone Generation. CoRR abs/2405.20313 (2024)
• 
  Haitz Sáez de Ocáriz Borde, Anastasis Kratsios, Marc T. Law, Xiaowen Dong, Michael M. Bronstein:
  Neural Spacetimes for DAG Representation Learning. CoRR abs/2408.13885 (2024)
• 
  Barak Gahtan, Shany Funk, Einat Kodesh, Itay Ketko, Tsvi Kuflik, Alex M. Bronstein:
  Automatic Identification and Visualization of Group Training Activities Using Wearable Data. CoRR abs/2410.05452 (2024)
• 
  Hadas Abraham, Barak Gahtan, Adir Kobovich, Orian Leitersdorf, Alex M. Bronstein, Eitan Yaakobi:
  Beyond the Alphabet: Deep Signal Embedding for Enhanced DNA Clustering. CoRR abs/2410.06188 (2024)
• 
  Tsachi Blau, Moshe Kimhi, Yonatan Belinkov, Alexander M. Bronstein, Chaim Baskin:
  Context-aware Prompt Tuning: Advancing In-Context Learning with Adversarial Methods. CoRR abs/2410.17222 (2024)
• 
  Ahmed A. A. Elhag, T. Konstantin Rusch, Francesco Di Giovanni, Michael M. Bronstein:
  Relaxed Equivariance via Multitask Learning. CoRR abs/2410.17878 (2024)
• 2023
• 
  Kamilia Zaripova, Luca Cosmo, Anees Kazi, Seyed-Ahmad Ahmadi, Michael M. Bronstein, Nassir Navab:
  Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications. Medical Image Anal. 88: 102839 (2023)
• 
  Anees Kazi, Luca Cosmo, Seyed-Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein:
  Differentiable Graph Module (DGM) for Graph Convolutional Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1606-1617 (2023)
• 
  Judith Hermanns, Konstantinos Skitsas, Anton Tsitsulin, Marina Munkhoeva, Alexander Frederiksen Kyster, Simon Nielsen, Alexander M. Bronstein, Davide Mottin, Panagiotis Karras:
  GRASP: Scalable Graph Alignment by Spectral Corresponding Functions. ACM Trans. Knowl. Discov. Data 17(4): 50:1-50:26 (2023)
• 
  Ama Bembua Bainson, Judith Hermanns, Petros Petsinis, Niklas Aavad, Casper Dam Larsen, Tiarnan Swayne, Amit Boyarski, Davide Mottin, Alex M. Bronstein, Panagiotis Karras:
  Spectral Subgraph Localization. LoG 2023: 7
• 
  Barak Gahtan, Reuven Cohen, Alex M. Bronstein, Gil Kedar:
  Using Deep Reinforcement Learning for mmWave Real-Time Scheduling. NoF 2023: 71-79
• 
  T. Konstantin Rusch, Michael M. Bronstein, Siddhartha Mishra:
  A Survey on Oversmoothing in Graph Neural Networks. CoRR abs/2303.10993 (2023)
• 
  Eyal Rozenberg, Aviv Karnieli, Ofir Yesharim, Joshua Foley-Comer, Sivan Trajtenberg-Mills, Sarika Mishra, Shashi Prabhakar, Ravindra Pratap Singh, Daniel Freedman, Alex M. Bronstein, Ady Arie:
  Designing Nonlinear Photonic Crystals for High-Dimensional Quantum State Engineering. CoRR abs/2304.06810 (2023)
• 
  Francesco Di Giovanni, T. Konstantin Rusch, Michael M. Bronstein, Andreea Deac, Marc Lackenby, Siddhartha Mishra, Petar Velickovic:
  How does over-squashing affect the power of GNNs? CoRR abs/2306.03589 (2023)
• 
  Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Haiyang Yu, Yuqing Xie, Xiang Fu, Alex Strasser, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik J. Bekkers, Michael M. Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi S. Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess E. Smidt, Shuiwang Ji:
  Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems. CoRR abs/2307.08423 (2023)
• 
  Jianan Zhao, Le Zhuo, Yikang Shen, Meng Qu, Kai Liu, Michael M. Bronstein, Zhaocheng Zhu, Jian Tang:
  GraphText: Graph Reasoning in Text Space. CoRR abs/2310.01089 (2023)
• 
  Avishek Joey Bose, Tara Akhound-Sadegh, Kilian Fatras, Guillaume Huguet, Jarrid Rector-Brooks, Cheng-Hao Liu, Andrei Cristian Nica, Maksym Korablyov, Michael M. Bronstein, Alexander Tong:
  SE(3)-Stochastic Flow Matching for Protein Backbone Generation. CoRR abs/2310.02391 (2023)
• 
  Alexandre Duval, Simon V. Mathis, Chaitanya K. Joshi, Victor Schmidt, Santiago Miret, Fragkiskos D. Malliaros, Taco Cohen, Pietro Lio, Yoshua Bengio, Michael M. Bronstein:
  A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems. CoRR abs/2312.07511 (2023)
• 2022
• 
  Soha Sadat Mahdi, Harold Matthews, Nele Nauwelaers, Michiel Vanneste, Shunwang Gong, Giorgos Bouritsas, Gareth S. Baynam, Peter Hammond, Richard A. Spritz, Ophir D. Klein, Benedikt Hallgrímsson, Hilde Peeters, Michael M. Bronstein, Peter Claes:
  Multi-Scale Part-Based Syndrome Classification of 3D Facial Images. IEEE Access 10: 23450-23462 (2022)
• 
  Peipei Kang, Zehang Lin, Zhenguo Yang, Xiaozhao Fang, Alexander M. Bronstein, Qing Li, Wenyin Liu:
  Intra-class low-rank regularization for supervised and semi-supervised cross-modal retrieval. Appl. Intell. 52(1): 33-54 (2022)
• 
  Gautam Pai, Alex M. Bronstein, Ronen Talmon, Ron Kimmel:
  Deep Isometric Maps. Image Vis. Comput. 123: 104461 (2022)
• 
  Peipei Kang, Zehang Lin, Zhenguo Yang, Alexander M. Bronstein, Qing Li, Wenyin Liu:
  Deep fused two-step cross-modal hashing with multiple semantic supervision. Multim. Tools Appl. 81(11): 15653-15670 (2022)
• 
  Eli Schwartz, Leonid Karlinsky, Rogério Feris, Raja Giryes, Alexander M. Bronstein:
  Baby steps towards few-shot learning with multiple semantics. Pattern Recognit. Lett. 160: 142-147 (2022)

skipping 152 more matches