Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2009.11848
Cited By
v1
v2
v3
v4
v5 (latest)
How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks
International Conference on Learning Representations (ICLR), 2020
24 September 2020
Keyulu Xu
Mozhi Zhang
Jingling Li
S. Du
Ken-ichi Kawarabayashi
Stefanie Jegelka
MLT
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks"
50 / 196 papers shown
Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic Models
AIAA Journal (AIAA J.), 2023
Qiang Liu
Nils Thuerey
DiffM
AI4CE
285
35
0
08 Dec 2023
What Planning Problems Can A Relational Neural Network Solve?
Jiayuan Mao
Tomás Lozano-Pérez
Joshua B. Tenenbaum
L. Kaelbling
161
11
0
06 Dec 2023
GSC: Generalizable Service Coordination
Farzad Mohammadi
V. Shah-Mansouri
GNN
178
1
0
05 Nov 2023
Does Invariant Graph Learning via Environment Augmentation Learn Invariance?
Neural Information Processing Systems (NeurIPS), 2023
Yongqiang Chen
Yatao Bian
Kaiwen Zhou
Binghui Xie
Bo Han
James Cheng
OOD
272
57
0
29 Oct 2023
Genetic Algorithms with Neural Cost Predictor for Solving Hierarchical Vehicle Routing Problems
Transportation Science (Transp. Sci.), 2023
Abhay Sobhanan
Junyoung Park
Jinkyoo Park
Changhyun Kwon
222
15
0
22 Oct 2023
Flood and Echo Net: Algorithmically Aligned GNNs that Generalize
Joël Mathys
Florian Grötschla
K. Nadimpalli
Roger Wattenhofer
FedML
227
2
0
10 Oct 2023
How Graph Neural Networks Learn: Lessons from Training Dynamics
International Conference on Machine Learning (ICML), 2023
Chenxiao Yang
Qitian Wu
David Wipf
Ruoyu Sun
Junchi Yan
AI4CE
GNN
449
2
0
08 Oct 2023
Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL
Neural Information Processing Systems (NeurIPS), 2023
Yang Yue
Rui Lu
Bingyi Kang
Shiji Song
Gao Huang
OffRL
361
21
0
06 Oct 2023
Can pre-trained models assist in dataset distillation?
Yao Lu
Xuguang Chen
Yuchen Zhang
Jianyang Gu
Tianle Zhang
Yifan Zhang
Xiaoniu Yang
Qi Xuan
Kai Wang
Yang You
DD
260
14
0
05 Oct 2023
On the Stability of Expressive Positional Encodings for Graphs
International Conference on Learning Representations (ICLR), 2023
Yinan Huang
William Lu
Joshua Robinson
Yu Yang
Muhan Zhang
Stefanie Jegelka
Pan Li
472
28
0
04 Oct 2023
Deep Neural Networks Tend To Extrapolate Predictably
International Conference on Learning Representations (ICLR), 2023
Katie Kang
Amrith Rajagopal Setlur
Claire Tomlin
Sergey Levine
218
0
0
02 Oct 2023
SALSA-CLRS: A Sparse and Scalable Benchmark for Algorithmic Reasoning
Julian Minder
Florian Grötschla
Joël Mathys
Roger Wattenhofer
276
12
0
21 Sep 2023
A robust synthetic data generation framework for machine learning in High-Resolution Transmission Electron Microscopy (HRTEM)
npj Computational Materials (npj Comput Mater), 2023
L. Dacosta
Katherine Sytwu
Catherine K. Groschner
Mary C Scott
225
12
0
12 Sep 2023
Giraffe: Adventures in Expanding Context Lengths in LLMs
Arka Pal
Deep Karkhanis
Manley Roberts
Samuel Dooley
Arvind Sundararajan
Siddartha Naidu
245
43
0
21 Aug 2023
Approximately Equivariant Graph Networks
Neural Information Processing Systems (NeurIPS), 2023
Ningyuan Huang
Ron Levie
Soledad Villar
403
26
0
21 Aug 2023
Is Self-Supervised Pretraining Good for Extrapolation in Molecular Property Prediction?
Shun Takashige
Masatoshi Hanai
Toyotaro Suzumura
Limin Wang
Kenjiro Taura
138
1
0
16 Aug 2023
Evaluating the diversity and utility of materials proposed by generative models
Alexander New
Michael Pekala
Elizabeth A. Pogue
Nam Q. Le
Janna Domenico
C. Piatko
Christopher D. Stiles
AI4CE
127
1
0
09 Aug 2023
Universal Approximation Theorem and error bounds for quantum neural networks and quantum reservoirs
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Lukas Gonon
A. Jacquier
309
21
0
24 Jul 2023
What can a Single Attention Layer Learn? A Study Through the Random Features Lens
Neural Information Processing Systems (NeurIPS), 2023
Hengyu Fu
Tianyu Guo
Yu Bai
Song Mei
MLT
201
36
0
21 Jul 2023
Asynchronous Algorithmic Alignment with Cocycles
LOG IN (LOG IN), 2023
Andrew Dudzik
Tamara von Glehn
Razvan Pascanu
Petar Velivcković
420
17
0
27 Jun 2023
Structuring Representation Geometry with Rotationally Equivariant Contrastive Learning
International Conference on Learning Representations (ICLR), 2023
Sharut Gupta
Joshua Robinson
Derek Lim
Soledad Villar
Stefanie Jegelka
SSL
198
26
0
24 Jun 2023
Quantifying the Optimization and Generalization Advantages of Graph Neural Networks Over Multilayer Perceptrons
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Wei Huang
Yuanbin Cao
Hong Wang
Xin Cao
Taiji Suzuki
MLT
384
8
0
24 Jun 2023
Graph Structure and Feature Extrapolation for Out-of-Distribution Generalization
Xiner Li
Shurui Gui
Youzhi Luo
Shuiwang Ji
OODD
OOD
330
14
0
13 Jun 2023
Limits, approximation and size transferability for GNNs on sparse graphs via graphops
Neural Information Processing Systems (NeurIPS), 2023
Thien Le
Stefanie Jegelka
181
15
0
07 Jun 2023
Learning to Stabilize Online Reinforcement Learning in Unbounded State Spaces
International Conference on Machine Learning (ICML), 2023
Brahma S. Pavse
M. Zurek
Yudong Chen
Qiaomin Xie
Josiah P. Hanna
OffRL
361
3
0
02 Jun 2023
Centered Self-Attention Layers
Scandinavian Conference on Image Analysis (SCIA), 2023
Ameen Ali
Tomer Galanti
Lior Wolf
409
8
0
02 Jun 2023
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization
Neural Information Processing Systems (NeurIPS), 2023
Shurui Gui
Meng Liu
Xiner Li
Youzhi Luo
Shuiwang Ji
CML
OOD
606
43
0
01 Jun 2023
Meta Adaptive Task Sampling for Few-Domain Generalization
Zheyan Shen
Han Yu
Peng Cui
Tianyu Wang
Xingxuan Zhang
Linjun Zhou
Furui Liu
OOD
115
1
0
25 May 2023
Tackling Size Generalization of Graph Neural Networks on Biological Data from a Spectral Perspective
Knowledge Discovery and Data Mining (KDD), 2023
Gao Li
Danai Koutra
Yujun Yan
347
1
0
24 May 2023
Uncertainty and Structure in Neural Ordinary Differential Equations
Katharina Ott
Michael Tiemann
Philipp Hennig
AI4CE
264
6
0
22 May 2023
Towards Understanding the Generalization of Graph Neural Networks
Huayi Tang
Y. Liu
GNN
AI4CE
192
50
0
14 May 2023
Graph Neural Networks on Factor Graphs for Robust, Fast, and Scalable Linear State Estimation with PMUs
Sustainable Energy, Grids and Networks (SEGAN), 2023
O. Kundacina
M. Cosovic
D. Mišković
D. Vukobratović
172
10
0
28 Apr 2023
Wide neural networks: From non-gaussian random fields at initialization to the NTK geometry of training
Luís Carvalho
Joao L. Costa
José Mourao
Gonccalo Oliveira
AI4CE
152
3
0
06 Apr 2023
Improving Generalization with Domain Convex Game
Computer Vision and Pattern Recognition (CVPR), 2023
Fangrui Lv
Jian Liang
Shuang Li
Jinming Zhang
Di Liu
202
8
0
23 Mar 2023
On the Expressiveness and Generalization of Hypergraph Neural Networks
Zhezheng Luo
Jiayuan Mao
J. Tenenbaum
L. Kaelbling
NAI
AI4CE
116
6
0
09 Mar 2023
MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning
S Chandra Mouli
M. A. Alam
Bruno Ribeiro
OOD
143
6
0
06 Mar 2023
Neural Algorithmic Reasoning with Causal Regularisation
International Conference on Machine Learning (ICML), 2023
Beatrice Bevilacqua
Kyriacos Nikiforou
Borja Ibarz
Ioana Bica
Michela Paganini
Charles Blundell
Jovana Mitrović
Petar Velivcković
OOD
CML
NAI
409
36
0
20 Feb 2023
SpReME: Sparse Regression for Multi-Environment Dynamic Systems
Moonjeong Park
Youngbin Choi
Namhoon Lee
Dongwoo Kim
170
3
0
12 Feb 2023
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Haotian Ju
Dongyue Li
Aneesh Sharma
Hongyang R. Zhang
298
48
0
09 Feb 2023
Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval
Neural Information Processing Systems (NeurIPS), 2023
Frederik Warburg
M. Miani
Silas Brack
Søren Hauberg
UQCV
BDL
276
12
0
02 Feb 2023
Zero-One Laws of Graph Neural Networks
Neural Information Processing Systems (NeurIPS), 2023
Sam Adam-Day
Theodor-Mihai Iliant
.Ismail .Ilkan Ceylan
GNN
AI4CE
252
7
0
30 Jan 2023
Robust Scheduling with GFlowNets
International Conference on Learning Representations (ICLR), 2023
David W. Zhang
Corrado Rainone
M. Peschl
Roberto Bondesan
401
64
0
17 Jan 2023
Pathfinding Neural Cellular Automata
Sam Earle
Ozlem Yildiz
Julian Togelius
Chinmay Hegde
167
2
0
17 Jan 2023
State of the Art and Potentialities of Graph-level Learning
ACM Computing Surveys (ACM Comput. Surv.), 2023
Zhenyu Yang
Ge Zhang
Hongzhi Zhang
Jian Yang
Quan.Z Sheng
...
Charu C. Aggarwal
Hao Peng
Wenbin Hu
Edwin R. Hancock
Pietro Lio
GNN
AI4CE
267
26
0
14 Jan 2023
Deep Learning from Parametrically Generated Virtual Buildings for Real-World Object Recognition
Mohammad Alawadhi
Wei Yan
3DPC
80
2
0
03 Jan 2023
Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs
Chenxiao Yang
Qitian Wu
Jiahua Wang
Junchi Yan
AI4CE
428
68
0
18 Dec 2022
Learnable Commutative Monoids for Graph Neural Networks
LOG IN (LOG IN), 2022
Euan Ong
Petar Velickovic
262
17
0
16 Dec 2022
Reliable extrapolation of deep neural operators informed by physics or sparse observations
Social Science Research Network (SSRN), 2022
Min Zhu
Handi Zhang
Anran Jiao
George Karniadakis
Lu Lu
261
128
0
13 Dec 2022
Learning Graph Algorithms With Recurrent Graph Neural Networks
Florian Grötschla
Joël Mathys
Roger Wattenhofer
GNN
131
6
0
09 Dec 2022
Measuring Competency of Machine Learning Systems and Enforcing Reliability
Michael Planer
J. Sierchio
for BAE Systems
99
0
0
02 Dec 2022
Previous
1
2
3
4
Next
Page 2 of 4
