GraphNAS: Graph Neural Architecture Search with Reinforcement Learning

22 April 2019

Papers citing "GraphNAS: Graph Neural Architecture Search with Reinforcement Learning"

33 / 33 papers shown

Title
Recent Advances of Multimodal Continual Learning: A Comprehensive Survey Dianzhi Yu Xinni Zhang Yankai Chen Aiwei Liu Yifei Zhang Philip S. Yu Irwin King VLM CLL 52 10 0 07 Oct 2024
Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification Beini Xie Heng Chang Ziwei Zhang Zeyang Zhang Simin Wu Xin Wang Yuan Meng Wenwu Zhu 42 2 0 24 Jun 2024
Combinatorial Optimization with Automated Graph Neural Networks Yang Liu Peng Zhang Yang Gao Chuan Zhou Zhao Li Hongyang Chen AI4CE GNN 35 2 0 05 Jun 2024
Learning How to Propagate Messages in Graph Neural Networks Teng Xiao Zhengyu Chen Donglin Wang Suhang Wang GNN 34 76 0 01 Oct 2023
Automated Polynomial Filter Learning for Graph Neural Networks Wendi Yu Zhichao Hou Xiaorui Liu 24 0 0 16 Jul 2023
Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification Lanning Wei Zhiqiang He Huan Zhao Quanming Yao 33 16 0 17 Feb 2023
Continual Graph Learning: A Survey Qiao Yuan S. Guan Pin Ni Tianlun Luo Ka Lok Man Prudence W. H. Wong Victor I. Chang CLL 37 14 0 28 Jan 2023
Enhancing Intra-class Information Extraction for Heterophilous Graphs: One Neural Architecture Search Approach Lanning Wei Zhiqiang He Huan Zhao Quanming Yao 26 1 0 20 Nov 2022
Reinforcement learning on graphs: A survey Mingshuo Nie Dongming Chen Dongqi Wang 49 45 0 13 Apr 2022
Graph Decipher: A transparent dual-attention graph neural network to understand the message-passing mechanism for the node classification Yan Pang Chao Liu GNN 26 8 0 04 Jan 2022
GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design Sung Une Lee Boming Xia Yongan Zhang Ang Li Yingyan Lin GNN 60 48 0 22 Dec 2021
G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency Yongan Zhang Haoran You Yonggan Fu Tong Geng Ang Li Yingyan Lin GNN 23 28 0 18 Sep 2021
Resistive Neural Hardware Accelerators Kamilya Smagulova M. Fouda Fadi J. Kurdahi K. Salama A. Eltawil 36 11 0 08 Sep 2021
Pooling Architecture Search for Graph Classification Lan Wei Huan Zhao Quanming Yao Zhiqiang He AI4CE 16 72 0 24 Aug 2021
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks Hao Peng Ruitong Zhang Yingtong Dou Renyu Yang Jingyi Zhang Philip S. Yu 36 115 0 16 Apr 2021
Early-Bird GCNs: Graph-Network Co-Optimization Towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets Haoran You Zhihan Lu Zijian Zhou Y. Fu Yingyan Lin GNN 41 30 0 01 Mar 2021
Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond Risheng Liu Jiaxin Gao Jin Zhang Deyu Meng Zhouchen Lin AI4CE 64 223 0 27 Jan 2021
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 27 117 0 16 Dec 2020
Auto Graph Encoder-Decoder for Neural Network Pruning Sixing Yu Arya Mazaheri Ali Jannesari GNN 27 38 0 25 Nov 2020
AutoGraph: Automated Graph Neural Network Yaoman Li Irwin King GNN 27 43 0 23 Nov 2020
Design Space for Graph Neural Networks Jiaxuan You Rex Ying J. Leskovec GNN AI4CE 33 315 0 17 Nov 2020
Learned Low Precision Graph Neural Networks Yiren Zhao Duo Wang Daniel Bates Robert D. Mullins M. Jamnik Pietro Lio GNN 39 34 0 19 Sep 2020
Graph Neural Network Architecture Search for Molecular Property Prediction Shengli Jiang Prasanna Balaprakash GNN AI4CE 21 34 0 27 Aug 2020
Policy-GNN: Aggregation Optimization for Graph Neural Networks Kwei-Herng Lai Daochen Zha Kaixiong Zhou Xia Hu 21 90 0 26 Jun 2020
Graph Random Neural Network for Semi-Supervised Learning on Graphs Wenzheng Feng Jie Zhang Yuxiao Dong Yu Han Huanbo Luan Qian Xu Qiang Yang Evgeny Kharlamov Jie Tang 28 387 0 22 May 2020
Progressive Graph Convolutional Networks for Semi-Supervised Node Classification Negar Heidari Alexandros Iosifidis GNN 29 14 0 27 Mar 2020
Probabilistic Dual Network Architecture Search on Graphs Yiren Zhao Duo Wang Xitong Gao Robert D. Mullins Pietro Lio M. Jamnik GNN AI4CE 51 27 0 21 Mar 2020
Pre-train and Learn: Preserve Global Information for Graph Neural Networks Danhao Zhu Xinyu Dai Jiajun Chen 21 23 0 27 Oct 2019
GResNet: Graph Residual Network for Reviving Deep GNNs from Suspended Animation Jiawei Zhang Lin Meng 21 52 0 12 Sep 2019
Auto-GNN: Neural Architecture Search of Graph Neural Networks Kaixiong Zhou Qingquan Song Xiao Huang Xia Hu GNN 61 178 0 07 Sep 2019
Techniques for Automated Machine Learning Yi-Wei Chen Qingquan Song Xia Hu 18 48 0 21 Jul 2019
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 263 1,812 0 25 Nov 2016
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 274 5,331 0 05 Nov 2016