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How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks

International Conference on Learning Representations (ICLR), 2020

24 September 2020

Ken-ichi Kawarabayashi

Stefanie Jegelka

MLT

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Papers citing "How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks"

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Title
Foundations of Artificial Intelligence Frameworks: Notion and Limits of AGI Khanh Gia Bui NAI AI4CE 337 0 0 23 Nov 2025
Parameter-Efficient Conditioning for Material Generalization in Graph-Based Simulators Naveen Raj Manoharan Hassan Iqbal Krishna Kumar AI4CE 96 0 0 07 Nov 2025
Distributional Evaluation of Generative Models via Relative Density Ratio Yuliang Xu Yun Wei Li Ma EGVM 313 0 0 29 Oct 2025
Generalizable Reasoning through Compositional Energy Minimization Alexandru Oarga Yilun Du PINN LRM AI4CE 152 1 0 23 Oct 2025
Deep Neural ODE Operator Networks for PDEs Ziqian Li Kang Liu Yongcun Song Hangrui Yue Enrique Zuazua AI4CE 133 0 0 17 Oct 2025
Accelerated Aggregated D-Optimal Designs for Estimating Main Effects in Black-Box Models Chih-Yu Chang Ming-Chung Chang 86 0 0 09 Oct 2025
KNARsack: Teaching Neural Algorithmic Reasoners to Solve Pseudo-Polynomial Problems Stjepan Požgaj Dobrik Georgiev Marin Šilić Petar Velickovic 76 0 0 17 Sep 2025
Neuro-Spectral Architectures for Causal Physics-Informed Networks Arthur Bizzi Leonardo M. Moreira Márcio Marques Leonardo Mendonça Christian Júnior de Oliveira ... Daniel Yukimura Pavel Petrov João M. Pereira Tiago Novello Lucas Nissenbaum PINN 272 1 0 05 Sep 2025
CHARM3R: Towards Unseen Camera Height Robust Monocular 3D Detector Abhinav Kumar Yuliang Guo Zhihao Zhang Xinyu Huang Liu Ren Xiaoming Liu MDE 160 0 0 15 Aug 2025
Hybrid Node-Destroyer Model with Large Neighborhood Search for Solving the Capacitated Vehicle Routing Problem Bachtiar Herdianto Romain Billot Flavien Lucas Marc Sevaux Daniele Vigo 72 0 0 12 Aug 2025
S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision Huihui Xu Jin Ye Hongqiu Wang Changkai Ji Jiashi Lin ... Chenglong Ma Tianbin Li Lihao Liu Junjun He Lei Zhu 158 0 0 09 Aug 2025
Penalizing Infeasible Actions and Reward Scaling in Reinforcement Learning with Offline Data Jeonghye Kim Yongjae Shin Whiyoung Jung Sunghoon Hong Deunsol Yoon Y. Sung Kanghoon Lee Woohyung Lim OffRL 273 0 0 11 Jul 2025
Out-of-Distribution Graph Models Merging Yidi Wang Jiawei Gu pei Xiaobing Xubin Zheng Xiao Luo Pengyang Wang Ziyue Qiao MoMe OODD 328 0 0 04 Jun 2025
Just One Layer Norm Guarantees Stable Extrapolation Juliusz Ziomek George Whittle Michael A. Osborne 294 3 0 20 May 2025
Wide & Deep Learning for Node Classification Yancheng Chen Wenguo Yang Zhipeng Jiang GNN 269 0 0 04 May 2025
Hadamard product in deep learning: Introduction, Advances and ChallengesIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025 Grigorios G. Chrysos Yongtao Wu Razvan Pascanu Philip Torr Volkan Cevher AAML 313 12 0 17 Apr 2025
Graph neural networks extrapolate out-of-distribution for shortest paths Robert Nerem Samantha Chen Sanjoy Dasgupta Yusu Wang 301 5 0 24 Mar 2025
NeuralFoil: An Airfoil Aerodynamics Analysis Tool Using Physics-Informed Machine Learning Peter Sharpe R. John Hansman 140 11 0 20 Mar 2025
NodeNAS: Node-Specific Graph Neural Architecture Search for Out-of-Distribution Generalization Qiyi Wang Yinning Shao Yunlong Ma Min Liu OOD 223 1 0 04 Mar 2025
Evolution and The Knightian Blindspot of Machine Learning Joel Lehman Elliot Meyerson Tarek El-Gaaly Kenneth O. Stanley Tarin Ziyaee 304 7 0 22 Jan 2025
Optimality of Message-Passing Architectures for Sparse GraphsNeural Information Processing Systems (NeurIPS), 2023 Aseem Baranwal Kimon Fountoulakis Aukosh Jagannath 504 12 0 10 Jan 2025
Causal-aware Graph Neural Architecture Search under Distribution Shifts Peiwen Li Xin Wang Zeyang Zhang Yi Qin Ziwei Zhang Jialong Wang Yang Li Wenwu Zhu CML OOD 303 7 0 31 Dec 2024
Progression: an extrapolation principle for regression Gloria Buriticá Sebastian Engelke 218 9 0 30 Oct 2024
Deeper Insights into Deep Graph Convolutional Networks: Stability and GeneralizationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024 Guangrui Yang Ming Li Han Feng Xiaosheng Zhuang GNN OOD BDL 202 3 0 11 Oct 2024
SLIDE: A machine-learning based method for forced dynamic response estimation of multibody systemsMechanics based design of structures and machines (MBDSM), 2024 Peter Manzl Alexander Humer Qasim Khadim Johannes Gerstmayr 264 1 0 26 Sep 2024
Zero-shot forecasting of chaotic systemsInternational Conference on Learning Representations (ICLR), 2024 Yuanzhao Zhang William Gilpin AI4TS 555 15 0 24 Sep 2024
Offline Model-Based Reinforcement Learning with Anti-ExplorationEuropean Conference on Artificial Intelligence (ECAI), 2024 Padmanaba Srinivasan William J. Knottenbelt OffRL 207 0 0 20 Aug 2024
Algorithm-Informed Graph Neural Networks for Leakage Detection and Localization in Water Distribution Networks Zepeng Zhang Olga Fink GNN 247 3 0 05 Aug 2024
Scalable Graph Compressed Convolutions Junshu Sun Chen Yang Shuhui Wang Qingming Huang GNN 231 0 0 26 Jul 2024
The Extrapolation Power of Implicit Models Juliette Decugis Alicia Y. Tsai Max Emerling Ashwin Ganesh L. Ghaoui 141 0 0 19 Jul 2024
Gradient Boosting Reinforcement Learning Benjamin Fuhrer Chen Tessler Gal Dalal OffRL AI4CE 427 4 0 11 Jul 2024
Foundations and Frontiers of Graph Learning Theory Yu Huang Min Zhou Menglin Yang Zhen Wang Muhan Zhang Jie Wang Hong Xie Hao Wang Defu Lian Enhong Chen AI4CE GNN 351 5 0 03 Jul 2024
Transformers meet Neural Algorithmic Reasoners Wilfried Bounsi Borja Ibarz Andrew Dudzik Jessica B. Hamrick Larisa Markeeva Alex Vitvitskyi Razvan Pascanu Petar Veličković NAI AI4CE LRM 228 11 0 13 Jun 2024
How Interpretable Are Interpretable Graph Neural Networks? Yongqiang Chen Yatao Bian Bo Han James Cheng 206 13 0 12 Jun 2024
Diverse Intra- and Inter-Domain Activity Style Fusion for Cross-Person Generalization in Activity RecognitionKnowledge Discovery and Data Mining (KDD), 2024 Junru Zhang Lang Feng Zhidan Liu Yuhan Wu Yang He Yabo Dong Duanqing Xu 251 9 0 07 Jun 2024
Strategically Conservative Q-Learning Yutaka Shimizu Joey Hong Sergey Levine Masayoshi Tomizuka OffRL OnRL 222 1 0 06 Jun 2024
Feature contamination: Neural networks learn uncorrelated features and fail to generalize Tianren Zhang Chujie Zhao Guanyu Chen Yizhou Jiang Feng Chen OOD MLT OODD 380 9 0 05 Jun 2024
Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters Ya-Wei Eileen Lin Ronen Talmon Ron Levie 231 1 0 03 Jun 2024
Analysis of Corrected Graph Convolutions Robert Wang Aseem Baranwal Kimon Fountoulakis 263 0 0 22 May 2024
On the Scalability of GNNs for Molecular Graphs Maciej Sypetkowski Frederik Wenkel Farimah Poursafaei Nia Dickson Karush Suri Philip Fradkin Dominique Beaini GNN AI4CE 391 32 0 17 Apr 2024
Intervention-Assisted Policy Gradient Methods for Online Stochastic Queuing Network Optimization: Technical Report Jerrod Wigmore B. Shrader E. Modiano OffRL 176 2 0 05 Apr 2024
Capability-aware Prompt Reformulation Learning for Text-to-Image Generation Jingtao Zhan Jiaxin Mao Yiqun Liu Jia Chen Shaoping Ma DiffM 161 8 0 27 Mar 2024
Transfer Learning Beyond Bounded Density Ratios Alkis Kalavasis Ilias Zadik Manolis Zampetakis 197 6 0 18 Mar 2024
A Priori Uncertainty Quantification of Reacting Turbulence Closure Models using Bayesian Neural Networks Graham Pash M. Hassanaly S. Yellapantula AI4CE 209 1 0 28 Feb 2024
Enhanced sampling of robust molecular datasets with uncertainty-based collective variablesJournal of Chemical Physics (JCP), 2024 Aik Rui Tan Johannes C. B. Dietschreit Rafael Gómez-Bombarelli 175 6 0 06 Feb 2024
Future Directions in the Theory of Graph Machine Learning Christopher Morris Fabrizio Frasca Nadav Dym Haggai Maron .Ismail .Ilkan Ceylan Ron Levie Derek Lim Michael M. Bronstein Martin Grohe Stefanie Jegelka AI4CE 523 7 0 03 Feb 2024
Hypergraph-Transformer (HGT) for Interactive Event Prediction in Laparoscopic and Robotic Surgery Lianhao Yin Yutong Ban J. Eckhoff O. Meireles Daniela Rus Guy Rosman 219 6 0 03 Feb 2024
Neural Contractive Dynamical SystemsInternational Conference on Learning Representations (ICLR), 2024 Hadi Beik-Mohammadi Søren Hauberg Georgios Arvanitidis Nadia Figueroa Gerhard Neumann Leonel Rozo 188 12 0 17 Jan 2024
Weak Correlations as the Underlying Principle for Linearization of Gradient-Based Learning Systems Ori Shem-Ur Yaron Oz 184 0 0 08 Jan 2024
Degree-based stratification of nodes in Graph Neural NetworksAsian Conference on Machine Learning (ACML), 2023 Ameen Ali Hakan Çevikalp Lior Wolf 154 0 0 16 Dec 2023