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What Can Neural Networks Reason About?

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What Can Neural Networks Reason About?

30 May 2019

Ken-ichi Kawarabayashi

Stefanie Jegelka

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Papers citing "What Can Neural Networks Reason About?"

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Title
BayesFlow: Learning complex stochastic models with invertible neural networks Stefan T. Radev U. Mertens A. Voss Lynton Ardizzone Ullrich Kothe BDL 431 210 0 13 Mar 2020
It's Not What Machines Can Learn, It's What We Cannot Teach Gal Yehuda Moshe Gabel Assaf Schuster FaML 89 39 0 21 Feb 2020
Generalization and Representational Limits of Graph Neural Networks Vikas Garg Stefanie Jegelka Tommi Jaakkola GNN 148 326 0 14 Feb 2020
Neural Subgraph Isomorphism Counting Xin Liu Haojie Pan Mutian He Yangqiu Song Xin Jiang Lifeng Shang GNN 99 85 0 25 Dec 2019
Neural Execution of Graph Algorithms Petar Velickovic Rex Ying Matilde Padovano R. Hadsell Charles Blundell GNN 187 178 0 23 Oct 2019
A Hybrid Compact Neural Architecture for Visual Place Recognition Marvin Chancán Luis Hernandez-Nunez A. Narendra A. Barron Michael Milford 105 57 0 15 Oct 2019
On the Equivalence between Positional Node Embeddings and Structural Graph Representations Balasubramaniam Srinivasan Bruno Ribeiro 126 27 0 01 Oct 2019
Dynamically Pruned Message Passing Networks for Large-Scale Knowledge Graph Reasoning Xiaoran Xu Wei Feng Yunsheng Jiang Xiaohui Xie Zhiqing Sun Zhihong Deng LRM 160 56 0 25 Sep 2019
Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels S. Du Kangcheng Hou Barnabás Póczós Ruslan Salakhutdinov Ruosong Wang Keyulu Xu 204 283 0 30 May 2019