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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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Characterizing 4-string contact interaction using machine learningJournal of High Energy Physics (JHEP), 2022 Harold Erbin Atakan Hilmi Fırat 172 15 0 16 Nov 2022
Scalar Invariant Networks with Zero Bias Chuqin Geng Xiaojie Xu Haolin Ye X. Si 193 1 0 15 Nov 2022
Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural NetsInternational Conference on Learning Representations (ICLR), 2022 Edo Cohen-Karlik Itamar Menuhin-Gruman Raja Giryes Nadav Cohen Amir Globerson 367 7 0 25 Oct 2022
Geometric Knowledge Distillation: Topology Compression for Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2022 Chenxiao Yang Qitian Wu Junchi Yan 201 26 0 24 Oct 2022
Investigation of chemical structure recognition by encoder-decoder models in learning progressJournal of Cheminformatics (J. Cheminform.), 2022 Katsuhisa Morita T. Mizuno Hiroyuki Kusuhara 240 10 0 24 Oct 2022
Transformers Learn Shortcuts to AutomataInternational Conference on Learning Representations (ICLR), 2022 Bingbin Liu Jordan T. Ash Surbhi Goel A. Krishnamurthy Cyril Zhang OffRL LRM 479 222 0 19 Oct 2022
Robust Imitation of a Few Demonstrations with a Backwards ModelNeural Information Processing Systems (NeurIPS), 2022 Jung Yeon Park Lawson L. S. Wong 147 13 0 17 Oct 2022
Tree Mover's Distance: Bridging Graph Metrics and Stability of Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2022 Ching-Yao Chuang Stefanie Jegelka OOD 180 43 0 04 Oct 2022
Provably expressive temporal graph networksNeural Information Processing Systems (NeurIPS), 2022 Amauri Souza Diego Mesquita Samuel Kaski Vikas Garg 243 68 0 29 Sep 2022
A Generalist Neural Algorithmic LearnerLOG IN (LOG IN), 2022 Borja Ibarz Vitaly Kurin George Papamakarios Kyriacos Nikiforou Mehdi Abbana Bennani ... Andreea Deac Beatrice Bevilacqua Yaroslav Ganin Charles Blundell Petar Velivcković OOD 359 62 0 22 Sep 2022
Periodic Extrapolative Generalisation in Neural NetworksIEEE Symposium Series on Computational Intelligence (IEEE SSCI), 2022 Peter Belcak Roger Wattenhofer 159 4 0 21 Sep 2022
Robust Ensemble Morph Detection with Domain Generalization Hossein Kashiani S. Sami Sobhan Soleymani Nasser M. Nasrabadi OOD AAML 176 8 0 16 Sep 2022
Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net StudyNeural Information Processing Systems (NeurIPS), 2022 Yongtao Wu Zhenyu Zhu Fanghui Liu Grigorios G. Chrysos Volkan Cevher 230 15 0 16 Sep 2022
Learning Continuous Implicit Representation for Near-Periodic PatternsEuropean Conference on Computer Vision (ECCV), 2022 B. Chen Tiancheng Zhi M. Hebert S. Narasimhan CLL AI4TS 151 7 0 25 Aug 2022
Graph Convolutional Networks from the Perspective of Sheaves and the Neural Tangent Kernel Thomas Gebhart GNN 88 1 0 19 Aug 2022
Gaussian Process Surrogate Models for Neural NetworksConference on Uncertainty in Artificial Intelligence (UAI), 2022 Michael Y. Li Erin Grant Thomas Griffiths BDL SyDa 236 9 0 11 Aug 2022
Open World Learning Graph Convolution for Latency Estimation in Routing NetworksIEEE International Joint Conference on Neural Network (IJCNN), 2022 Yifei Jin Marios Daoutis Sarunas Girdzijauskas Aristides Gionis 189 1 0 08 Jul 2022
Learning Local Implicit Fourier Representation for Image WarpingEuropean Conference on Computer Vision (ECCV), 2022 Jae-Won Lee K. Choi Kyong Hwan Jin 141 21 0 05 Jul 2022
VEM $^2$ L: A Plug-and-play Framework for Fusing Text and Structure Knowledge on Sparse Knowledge Graph Completion Tao He Ming Liu Haichao Zhu Tianwen Jiang Zihao Zheng Jingrun Zhang Sendong Zhao Bing Qin 247 1 0 04 Jul 2022
LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning TasksNeural Information Processing Systems (NeurIPS), 2022 Tuan Dinh Yuchen Zeng Ruisu Zhang Ziqian Lin Michael Gira Shashank Rajput Jy-yong Sohn Dimitris Papailiopoulos Kangwook Lee LMTD 547 167 0 14 Jun 2022
Data-Efficient Brain Connectome Analysis via Multi-Task Meta-LearningKnowledge Discovery and Data Mining (KDD), 2022 Yi Yang Yanqiao Zhu Hejie Cui Xuan Kan Lifang He Ying Guo Carl Yang 145 35 0 09 Jun 2022
The CLRS Algorithmic Reasoning BenchmarkInternational Conference on Machine Learning (ICML), 2022 Petar Velivcković Adria Puigdomenech Badia David Budden Razvan Pascanu Andrea Banino Mikhail Dashevskiy R. Hadsell Charles Blundell 333 109 0 31 May 2022
Graph-level Neural Networks: Current Progress and Future Directions Ge Zhang Hongzhi Zhang Jian Yang Shan Xue Wenbin Hu Chuan Zhou Hao Peng Quan.Z Sheng Charu C. Aggarwal GNN AI4CE 193 0 0 31 May 2022
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test GraphsNeural Information Processing Systems (NeurIPS), 2022 Yangze Zhou Gitta Kutyniok Bruno Ribeiro OODD AI4CE 404 46 0 30 May 2022
Asynchronous Neural Networks for Learning in Graphs Lukas Faber Roger Wattenhofer GNN 131 4 0 24 May 2022
When Data Geometry Meets Deep Function: Generalizing Offline Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2022 Jianxiong Li Xianyuan Zhan Haoran Xu Xiangyu Zhu Jingjing Liu Ya Zhang OffRL 301 31 0 23 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and TrendsProceedings of the IEEE (Proc. IEEE), 2022 He Zhang Bang Wu Lizhen Qu Shirui Pan Hanghang Tong Jian Pei 360 149 0 16 May 2022
Subspace Diffusion Generative ModelsEuropean Conference on Computer Vision (ECCV), 2022 Bowen Jing Gabriele Corso Renato Berlinghieri Tommi Jaakkola DiffM 301 86 0 03 May 2022
Effects of Graph Convolutions in Multi-layer NetworksInternational Conference on Learning Representations (ICLR), 2022 Aseem Baranwal Kimon Fountoulakis Aukosh Jagannath 265 30 0 20 Apr 2022
NICO++: Towards Better Benchmarking for Domain GeneralizationComputer Vision and Pattern Recognition (CVPR), 2022 Xingxuan Zhang Linjun Zhou Renzhe Xu Haoxin Liu Zheyan Shen Peng Cui OOD 266 100 0 17 Apr 2022
Theory of Graph Neural Networks: Representation and Learning Stefanie Jegelka GNN AI4CE 208 82 0 16 Apr 2022
Graph Pooling for Graph Neural Networks: Progress, Challenges, and OpportunitiesInternational Joint Conference on Artificial Intelligence (IJCAI), 2022 Chuang Liu Yibing Zhan Hongzhi Zhang Chang Li Bo Du Wenbin Hu Tongliang Liu Dacheng Tao GNN AI4CE 186 108 0 15 Apr 2022
Graph Neural Networks are Dynamic ProgrammersNeural Information Processing Systems (NeurIPS), 2022 Andrew Dudzik Petar Velickovic 330 74 0 29 Mar 2022
Emulating Quantum Dynamics with Neural Networks via Knowledge DistillationFrontiers in Materials (Front. Mater.), 2022 Yu Yao C. Cao S. Haas Mahak Agarwal Divya Khanna M. Abram 223 4 0 19 Mar 2022
Out-Of-Distribution Generalization on Graphs: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Haoyang Li Xin Eric Wang Ziwei Zhang Wenwu Zhu OOD CML 380 118 0 16 Feb 2022
On the Implicit Bias of Gradient Descent for Temporal ExtrapolationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Edo Cohen-Karlik Avichai Ben David Nadav Cohen Amir Globerson 176 4 0 09 Feb 2022
Learning to be a Statistician: Learned Estimator for Number of Distinct ValuesProceedings of the VLDB Endowment (PVLDB), 2021 Renzhi Wu Bolin Ding Xu Chu Zhewei Wei Xiening Dai Tao Guan Jingren Zhou 131 16 0 06 Feb 2022
Learning Physics-Consistent Particle InteractionsPNAS Nexus (PNAS Nexus), 2022 Zhichao Han David S. Kammer Olga Fink 144 11 0 01 Feb 2022
Eigenvalues of Autoencoders in Training and at Initialization Ben Dees S. Agarwala Corey Lowman 120 0 0 27 Jan 2022
To what extent should we trust AI models when they extrapolate? Roozbeh Yousefzadeh Xuenan Cao 143 5 0 27 Jan 2022
Learning to Compose Diversified Prompts for Image Emotion ClassificationComputational Visual Media (CVM), 2022 Sinuo Deng Lifang Wu Ge Shi Lehao Xing Meng Jian Ye Xiang CLIP VLM 143 81 0 26 Jan 2022
What's Wrong with Deep Learning in Tree Search for Combinatorial OptimizationInternational Conference on Learning Representations (ICLR), 2022 Maximilian Böther Otto Kißig M. Taraz S. Cohen Karen Seidel Tobias Friedrich AI4CE 199 51 0 25 Jan 2022
Robust uncertainty estimates with out-of-distribution pseudo-inputs training Pierre Segonne Yevgen Zainchkovskyy Søren Hauberg UQCV OOD 104 1 0 15 Jan 2022
Programming with Neural Surrogates of Programs Alex Renda Yi Ding Michael Carbin 112 6 0 12 Dec 2021
OOD-GNN: Out-of-Distribution Generalized Graph Neural Network Haoyang Li Xin Eric Wang Ziwei Zhang Wenwu Zhu OODD OOD 290 133 0 07 Dec 2021
Information Theoretic Representation Distillation Roy Miles Adrian Lopez-Rodriguez K. Mikolajczyk MQ 331 26 0 01 Dec 2021
Decoding the Protein-ligand Interactions Using Parallel Graph Neural Networks C. Knutson Mridula Bontha Jenna A. Bilbrey Neeraj Kumar 118 38 0 30 Nov 2021
Local Texture Estimator for Implicit Representation Function Jaewon Lee Kyong Hwan Jin SupR 290 220 0 17 Nov 2021
Can neural networks predict dynamics they have never seen? A. Pershin C. Beaume Kuan Li S. Tobias 98 3 0 12 Nov 2021
Learning on Random Balls is Sufficient for Estimating (Some) Graph ParametersNeural Information Processing Systems (NeurIPS), 2021 Takanori Maehara Hoang NT 180 3 0 05 Nov 2021