Gated Graph Sequence Neural Networks

17 November 2015

Papers citing "Gated Graph Sequence Neural Networks"

50 / 1,390 papers shown

Title
Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology Nima Dehmamy Albert-László Barabási Rose Yu GNN 30 132 0 11 Jul 2019
Fast Haar Transforms for Graph Neural Networks Ming Li Zheng Ma Yu Guang Wang Xiaosheng Zhuang 33 74 0 10 Jul 2019
Learning by Abstraction: The Neural State Machine Drew A. Hudson Christopher D. Manning NAI OCL 16 258 0 09 Jul 2019
What graph neural networks cannot learn: depth vs width Andreas Loukas GNN 28 294 0 06 Jul 2019
Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation Shuo-feng Zhang Lei Xie GNN 29 55 0 04 Jul 2019
Learning Blended, Precise Semantic Program Embeddings Ke Wang Z. Su NAI 30 25 0 03 Jul 2019
Spectral Clustering with Graph Neural Networks for Graph Pooling F. Bianchi Daniele Grattarola Cesare Alippi GNN 21 39 0 30 Jun 2019
GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation Marc Brockschmidt 25 133 0 28 Jun 2019
Fast Training of Sparse Graph Neural Networks on Dense Hardware Matej Balog B. V. Merrienboer Subhodeep Moitra Yujia Li Daniel Tarlow GNN 36 10 0 27 Jun 2019
Program Synthesis and Semantic Parsing with Learned Code Idioms Richard Shin Miltiadis Allamanis Marc Brockschmidt Oleksandr Polozov 19 87 0 26 Jun 2019
Ego-CNN: Distributed, Egocentric Representations of Graphs for Detecting Critical Structures Ruo-Chun Tzeng Shan-Hung Wu GNN 16 13 0 23 Jun 2019
Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models Guangyong Chen Pengfei Chen Chang-Yu Hsieh Chee-Kong Lee B. Liao ... J. Qiu Qiming Sun Jie Tang R. Zemel Shengyu Zhang 24 75 0 22 Jun 2019
Graph Star Net for Generalized Multi-Task Learning H. Lu Seth H. Huang Tian Ye Xiuyan Guo GNN 33 46 0 21 Jun 2019
SwiftNet: Using Graph Propagation as Meta-knowledge to Search Highly Representative Neural Architectures Hsin-Pai Cheng Tunhou Zhang Yukun Yang Feng Yan Shiyu Li Harris Teague H. Li Yiran Chen 17 11 0 19 Jun 2019
Learning Execution through Neural Code Fusion Zhan Shi Kevin Swersky Daniel Tarlow Parthasarathy Ranganathan Milad Hashemi GNN 18 29 0 17 Jun 2019
Predicting Research Trends with Semantic and Neural Networks with an application in Quantum Physics Mario Krenn A. Zeilinger GNN 17 74 0 17 Jun 2019
Amortized Bethe Free Energy Minimization for Learning MRFs Sam Wiseman Yoon Kim TPM DRL 13 11 0 14 Jun 2019
Utilizing Edge Features in Graph Neural Networks via Variational Information Maximization Pengfei Chen Weiwen Liu Chang-Yu Hsieh Guangyong Chen Shengyu Zhang 17 21 0 13 Jun 2019
Neural Graph Evolution: Towards Efficient Automatic Robot Design Tingwu Wang Yuhao Zhou Sanja Fidler Jimmy Ba 15 61 0 12 Jun 2019
A Model to Search for Synthesizable Molecules John Bradshaw Brooks Paige Matt J. Kusner Marwin H. S. Segler José Miguel Hernández-Lobato 19 108 0 12 Jun 2019
Learning Predicates as Functions to Enable Few-shot Scene Graph Prediction Apoorva Dornadula Austin Narcomey Ranjay Krishna Michael S. Bernstein Li Fei-Fei OCL 28 3 0 12 Jun 2019
Hierarchical Graph-to-Graph Translation for Molecules Wengong Jin Regina Barzilay Tommi Jaakkola 28 16 0 11 Jun 2019
A Two-Step Graph Convolutional Decoder for Molecule Generation Xavier Bresson T. Laurent 22 60 0 08 Jun 2019
Learning Representations of Graph Data -- A Survey Mital Kinderkhedia GNN 12 12 0 07 Jun 2019
Combining Generative and Discriminative Models for Hybrid Inference Victor Garcia Satorras Zeynep Akata Max Welling 13 56 0 06 Jun 2019
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks Sitao Luan Mingde Zhao Xiao-Wen Chang Doina Precup GNN 34 155 0 05 Jun 2019
Can Graph Neural Networks Help Logic Reasoning? Yuyu Zhang Xinshi Chen Yu’an Yang Arun Ramamurthy Bo Li Yuan Qi Le Song NAI AI4CE 18 13 0 05 Jun 2019
Exact Combinatorial Optimization with Graph Convolutional Neural Networks Maxime Gasse Didier Chételat Nicola Ferroni Laurent Charlin Andrea Lodi GNN CML 66 473 0 04 Jun 2019
Self-Attentional Models for Lattice Inputs Matthias Sperber Graham Neubig Ngoc-Quan Pham A. Waibel 13 42 0 04 Jun 2019
Factor Graph Neural Network Zhen Zhang Fan Wu Wee Sun Lee GNN 19 18 0 03 Jun 2019
Explainability Techniques for Graph Convolutional Networks Federico Baldassarre Hossein Azizpour GNN FAtt 22 264 0 31 May 2019
Discriminative structural graph classification Younjoo Seo Andreas Loukas Nathanael Perraudin 22 19 0 31 May 2019
Rethinking Table Recognition using Graph Neural Networks S. Qasim Hassan Mahmood Faisal Shafait GNN LMTD 12 13 0 31 May 2019
All SMILES Variational Autoencoder Zaccary Alperstein Artem Cherkasov J. Rolfe DRL 19 38 0 30 May 2019
Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels S. Du Kangcheng Hou Barnabás Póczós Ruslan Salakhutdinov Ruosong Wang Keyulu Xu 23 268 0 30 May 2019
Graph Normalizing Flows Jenny Liu Aviral Kumar Jimmy Ba J. Kiros Kevin Swersky BDL GNN AI4CE 27 154 0 30 May 2019
Neural Consciousness Flow Xiaoran Xu Wei Feng Zhiqing Sun Zhihong Deng GNN AI4CE 27 2 0 30 May 2019
Quantifying the Alignment of Graph and Features in Deep Learning Yifan Qian P. Expert Tom Rieu P. Panzarasa Mauricio Barahona 25 18 0 30 May 2019
Graph Learning Network: A Structure Learning Algorithm Darwin Danilo Saire Pilco Adín Ramirez Rivera GNN 13 15 0 29 May 2019
Towards Interpretable Sparse Graph Representation Learning with Laplacian Pooling Emmanuel Noutahi Dominique Beaini Julien Horwood Sébastien Giguère Prudencio Tossou AI4CE 22 34 0 28 May 2019
Representation Learning for Dynamic Graphs: A Survey Seyed Mehran Kazemi Rishab Goel Kshitij Jain I. Kobyzev Akshay Sethi Peter Forsyth Pascal Poupart AI4TS AI4CE GNN 29 446 0 27 May 2019
Incidence Networks for Geometric Deep Learning Marjan Albooyeh Daniele Bertolini Siamak Ravanbakhsh GNN 26 26 0 27 May 2019
Provably Powerful Graph Networks Haggai Maron Heli Ben-Hamu Hadar Serviansky Y. Lipman 25 564 0 27 May 2019
Graph Filtration Learning Christoph Hofer Florian Graf Bastian Alexander Rieck Marc Niethammer Roland Kwitt 16 96 0 27 May 2019
Graph Neural Networks Exponentially Lose Expressive Power for Node Classification Kenta Oono Taiji Suzuki GNN 32 27 0 27 May 2019
Demand Forecasting from Spatiotemporal Data with Graph Networks and Temporal-Guided Embedding Doyup Lee Suehun Jung Yeongjae Cheon Dongil Kim Seungil You AI4TS 6 6 0 26 May 2019
Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach Changjun Fan Li Zeng Yuhui Ding Muhao Chen Yizhou Sun Zhong Liu GNN 22 66 0 24 May 2019
Adversarial Learned Molecular Graph Inference and Generation Sebastian Polsterl Christian Wachinger GAN 30 7 0 24 May 2019
Graph Representations for Higher-Order Logic and Theorem Proving Aditya Sanjay Paliwal Sarah M. Loos M. Rabe Kshitij Bansal Christian Szegedy AI4CE NoLa 28 97 0 24 May 2019
MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions Nuo Xu P. Wang Long Chen Jing Tao Junzhou Zhao GNN 19 91 0 23 May 2019