Title
Opportunistic Routing in Wireless Communications via Learnable State-Augmented Policies Sourajit Das Navid Naderializadeh Rahul Mangharam 184 0 0 05 Mar 2025
Graph Perceiver IO: A General Architecture for Graph Structured Data Seyun Bae Hoyoon Byun Changdae Oh Yoon-Sik Cho Kyungwoo Song GNN 244 3 0 24 Feb 2025
Bilevel Learning for Bilevel Planning Bowen Li Tom Silver Sebastian A. Scherer Alexander G. Gray 249 2 0 12 Feb 2025
When, Where and Why to Average Weights? Niccolò Ajroldi Antonio Orvieto Jonas Geiping MoMe 259 0 0 10 Feb 2025
Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks Niccolò Grillo Andrea Toccaceli Joël Mathys Benjamin Estermann Stefania Fresca Roger Wattenhofer AI4CE LRM 270 0 0 06 Feb 2025
Field-level simulation-based inference with galaxy catalogs: the impact of systematic effects Natalí S. M. de Santi F. Villaescusa-Navarro L. Abramo Helen Shao Lucia A. Perez ... F. Marinacci D. Spergel K. Dolag L. Hernquist M. Vogelsberger 234 5 0 28 Jan 2025
SPARC: Spectral Architectures Tackling the Cold-Start Problem in Graph Learning Yahel Jacobs Reut Dayan Uri Shaham 199 0 0 03 Nov 2024
Sparse Decomposition of Graph Neural Networks Yaochen Hu Mai Zeng Ge Zhang Pavel Rumiantsev Liheng Ma Yingxue Zhang Mark Coates 197 0 0 25 Oct 2024
Learning signals defined on graphs with optimal transport and Gaussian process regression Raphael Carpintero Perez Sébastien da Veiga Josselin Garnier B. Staber 187 1 0 21 Oct 2024
Geometric Inductive Biases of Deep Networks: The Role of Data and Architecture Sajad Movahedi Antonio Orvieto Seyed-Mohsen Moosavi-Dezfooli AI4CE AAML 570 0 0 15 Oct 2024
Cayley Graph Propagation JJ Wilson Maya Bechler-Speicher Petar Veličković 240 6 0 04 Oct 2024
PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems Bocheng Zeng Qi Wang Ming Yan Yang Liu Ruizhi Chengze Yi Zhang Hongsheng Liu Zidong Wang Hao Sun AI4CE 190 4 0 02 Oct 2024
Mesh-based Super-Resolution of Fluid Flows with Multiscale Graph Neural Networks Shivam Barwey Pinaki Pal Saumil Patel Riccardo Balin Bethany Lusch V. Vishwanath R. Maulik R. Balakrishnan AI4CE 243 1 0 12 Sep 2024
Video-Driven Graph Network-Based Simulators Franciszek Szewczyk Gilles Louppe M. Sabatelli PINN 148 0 0 10 Sep 2024
Neural Entropy Akhil Premkumar DiffM 187 1 0 05 Sep 2024
Joint Graph Rewiring and Feature Denoising via Spectral Resonance Jonas Linkerhagner Cheng Shi Ivan Dokmanić 206 0 0 13 Aug 2024
When does compositional structure yield compositional generalization? A kernel theory Samuel Lippl Kim Stachenfeld NAI CoGe 208 9 0 26 May 2024
Leveraging Interpolation Models and Error Bounds for Verifiable Scientific Machine Learning Tyler Chang Andrew Gillette R. Maulik 209 4 0 04 Apr 2024
Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators Benedikt Alkin Andreas Fürst Simon Schmid Lukas Gruber Markus Holzleitner Johannes Brandstetter PINN AI4CE 200 13 0 19 Feb 2024
3VL: Using Trees to Improve Vision-Language Models' Interpretability Nir Yellinek Leonid Karlinsky Raja Giryes CoGe VLM 260 3 0 28 Dec 2023
Neural Bayes Estimators for Irregular Spatial Data using Graph Neural Networks Matthew Sainsbury-Dale A. Zammit‐Mangion J. Richards Raphael Huser 635 15 0 04 Oct 2023
The Expressive Power of Graph Neural Networks: A Survey Bingxue Zhang Changjun Fan Shixuan Liu Kuihua Huang Xiang Zhao Jin-Yu Huang Zhong Liu 208 26 0 16 Aug 2023
Boosting Convolution with Efficient MLP-Permutation for Volumetric Medical Image Segmentation Yi Lin Xiao Fang Dong Zhang Kwang-Ting Cheng Hao Chen MedIm 185 4 0 23 Mar 2023
(Im)possibility of Collective Intelligence Krikamol Muandet 245 6 0 05 Jun 2022
Predicate Invention for Bilevel Planning Tom Silver Rohan Chitnis Nishanth Kumar Willie McClinton Tomás Lozano-Pérez L. Kaelbling J. Tenenbaum 180 43 0 17 Mar 2022
Implicit Kinematic Policies: Unifying Joint and Cartesian Action Spaces in End-to-End Robot Learning Aditya Ganapathi Peter R. Florence Jacob Varley Kaylee Burns Ken Goldberg Andy Zeng 185 17 0 03 Mar 2022
Explainability in Deep Reinforcement Learning Alexandre Heuillet Fabien Couthouis Natalia Díaz Rodríguez XAI 182 282 0 15 Aug 2020
A Study of Compositional Generalization in Neural Models Tim Klinger D. Adjodah Vincent Marois Joshua Joseph Matthew D Riemer Alex Pentland Murray Campbell CoGe NAI 181 13 0 16 Jun 2020
Adaptive Universal Generalized PageRank Graph Neural Network Eli Chien Jianhao Peng Pan Li O. Milenkovic 269 742 0 14 Jun 2020
DeeperGCN: All You Need to Train Deeper GCNs Guohao Li Chenxin Xiong Ali K. Thabet Guohao Li GNN 226 442 0 13 Jun 2020
Learning the Travelling Salesperson Problem Requires Rethinking Generalization Chaitanya K. Joshi Quentin Cappart Louis-Martin Rousseau T. Laurent 191 120 0 12 Jun 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 457 950 0 02 Mar 2020
On the Robustness of Deep Learning-predicted Contention Models for Network Calculus Fabien Geyer Steffen Bondorf OOD 165 8 0 24 Nov 2019
Relational Deep Reinforcement Learning V. Zambaldi David Raposo Adam Santoro V. Bapst Yujia Li ... Victoria Langston Razvan Pascanu M. Botvinick Oriol Vinyals Peter W. Battaglia OffRL 159 222 0 05 Jun 2018
Graph networks as learnable physics engines for inference and control Alvaro Sanchez-Gonzalez N. Heess Jost Tobias Springenberg J. Merel Martin Riedmiller R. Hadsell Peter W. Battaglia GNN AI4CE PINN OCL 218 602 0 04 Jun 2018
Relational inductive bias for physical construction in humans and machines Jessica B. Hamrick Kelsey R. Allen V. Bapst Tina Zhu Kevin R. McKee J. Tenenbaum Peter W. Battaglia 212 112 0 04 Jun 2018
MolGAN: An implicit generative model for small molecular graphs Nicola De Cao Thomas Kipf GNN GAN 179 928 0 30 May 2018
Hyperbolic Attention Networks Çağlar Gülçehre Misha Denil Mateusz Malinowski Ali Razavi Razvan Pascanu ... Peter W. Battaglia V. Bapst David Raposo Adam Santoro Nando de Freitas 171 224 0 24 May 2018
Adversarial Attacks on Neural Networks for Graph Data Daniel Zügner Amir Akbarnejad Stephan Günnemann GNN AAML OOD 159 1,071 0 21 May 2018
Deep Nets: What have they ever done for Vision? Alan Yuille Chenxi Liu 154 104 0 10 May 2018
Iterative Visual Reasoning Beyond Convolutions Xinlei Chen Li Li Li Fei-Fei Abhinav Gupta LRM GNN 196 216 0 29 Mar 2018
Inference in Probabilistic Graphical Models by Graph Neural Networks Kijung Yoon Renjie Liao Yuwen Xiong Lisa Zhang Ethan Fetaya R. Urtasun R. Zemel Xaq Pitkow TPM 170 102 0 21 Mar 2018
Learning Deep Generative Models of Graphs Yujia Li Oriol Vinyals Chris Dyer Razvan Pascanu Peter W. Battaglia GNN AI4CE 196 662 0 08 Mar 2018
Compositional Attention Networks for Machine Reasoning Drew A. Hudson Christopher D. Manning BDL OOD LRM 193 577 0 08 Mar 2018
Deep Models of Interactions Across Sets Jason S. Hartford Devon R. Graham Kevin Leyton-Brown Siamak Ravanbakhsh 156 158 0 07 Mar 2018
Self-Attention with Relative Position Representations Peter Shaw Jakob Uszkoreit Ashish Vaswani 179 2,296 0 06 Mar 2018
NetGAN: Generating Graphs via Random Walks Aleksandar Bojchevski Oleksandr Shchur Daniel Zügner Stephan Günnemann GAN GNN 179 361 0 02 Mar 2018
Composable Planning with Attributes Amy Zhang Adam Lerer Sainbayar Sukhbaatar Rob Fergus Arthur Szlam 161 64 0 01 Mar 2018
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions Sjoerd van Steenkiste Michael Chang Klaus Greff Jürgen Schmidhuber BDL OCL DRL 209 291 0 28 Feb 2018
Can Neural Networks Understand Logical Entailment? Richard Evans D. Saxton David Amos Pushmeet Kohli Edward Grefenstette NAI 177 128 0 23 Feb 2018