Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks

27 September 2021

Papers citing "Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks"

50 / 55 papers shown

Title
Learning Dynamics via Graph Neural Networks for Human Pose Estimation and Tracking Yiding Yang Zhou Ren Haoxiang Li Chunluan Zhou Xinchao Wang G. Hua 3DH 30 66 0 07 Jun 2021
SPAGAN: Shortest Path Graph Attention Network Yiding Yang Xinchao Wang Xiuming Zhang Junsong Yuan Dacheng Tao GNN 175 97 0 10 Jan 2021
Binary Graph Neural Networks Mehdi Bahri Gaétan Bahl Stefanos Zafeiriou GNN AI4CE 15 51 0 31 Dec 2020
Learning Aggregation Functions Giovanni Pellegrini Alessandro Tibo P. Frasconi Andrea Passerini M. Jaeger FedML 74 19 0 15 Dec 2020
Overcoming Catastrophic Forgetting in Graph Neural Networks Huihui Liu Yiding Yang Xinchao Wang 190 114 0 10 Dec 2020
Progressive Network Grafting for Few-Shot Knowledge Distillation Chengchao Shen Xinchao Wang Youtan Yin Mingli Song Sihui Luo Xiuming Zhang 11 47 0 09 Dec 2020
Bi-GCN: Binary Graph Convolutional Network Junfu Wang Yunhong Wang Zhen Yang Liang Yang Yuanfang Guo GNN 22 55 0 15 Oct 2020
Factorizable Graph Convolutional Networks Yiding Yang Zunlei Feng Xiuming Zhang Xinchao Wang GNN 30 146 0 12 Oct 2020
DeeperGCN: All You Need to Train Deeper GCNs Guohao Li Chenxin Xiong Ali K. Thabet Guohao Li GNN 71 436 0 13 Jun 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 147 2,687 0 02 May 2020
Binary Neural Networks: A Survey Haotong Qin Ruihao Gong Xianglong Liu Xiao Bai Jingkuan Song N. Sebe MQ 83 463 0 31 Mar 2020
Training Binary Neural Networks with Real-to-Binary Convolutions Brais Martínez Jing Yang Adrian Bulat Georgios Tzimiropoulos MQ 31 227 0 25 Mar 2020
Distilling Knowledge from Graph Convolutional Networks Yiding Yang Jiayan Qiu Xiuming Zhang Dacheng Tao Xinchao Wang 190 228 0 23 Mar 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 239 929 0 02 Mar 2020
AdderNet: Do We Really Need Multiplications in Deep Learning? Hanting Chen Yunhe Wang Chunjing Xu Boxin Shi Chao Xu Qi Tian Chang Xu 36 196 0 31 Dec 2019
SuperGlue: Learning Feature Matching with Graph Neural Networks Paul-Edouard Sarlin Daniel DeTone Tomasz Malisiewicz Andrew Rabinovich 3DPC OffRL 61 1,907 0 26 Nov 2019
XNOR-Net++: Improved Binary Neural Networks Adrian Bulat Georgios Tzimiropoulos MQ 44 201 0 30 Sep 2019
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li ... Jiaqi Zhao Haotong Zhang Alex Smola Jinyang Li Zheng Zhang AI4CE GNN 226 748 0 03 Sep 2019
Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation Chengchao Shen Mengqi Xue Xinchao Wang Mingli Song Li Sun Xiuming Zhang MoMe 25 56 0 20 Aug 2019
On the equivalence between graph isomorphism testing and function approximation with GNNs Zhengdao Chen Soledad Villar Lei Chen Joan Bruna 50 278 0 29 May 2019
Revisiting Graph Neural Networks: All We Have is Low-Pass Filters Hoang NT Takanori Maehara GNN 53 427 0 23 May 2019
DeepGCNs: Can GCNs Go as Deep as CNNs? Ge Li Matthias Muller Ali K. Thabet Guohao Li 3DPC GNN 93 1,333 0 07 Apr 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 249 8,441 0 03 Jan 2019
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 414 5,457 0 20 Dec 2018
Amalgamating Knowledge towards Comprehensive Classification Chengchao Shen L. Câlmâc Mingli Song Li Sun Xiuming Zhang MoMe 39 89 0 07 Nov 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 115 7,554 0 01 Oct 2018
Adaptive Sampling Towards Fast Graph Representation Learning Wen-bing Huang Tong Zhang Yu Rong Junzhou Huang GNN 44 490 0 14 Sep 2018
Learning Human-Object Interactions by Graph Parsing Neural Networks Siyuan Qi Wenguan Wang Baoxiong Jia Jianbing Shen Song-Chun Zhu GNN 53 535 0 23 Aug 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 240 895 0 07 Jun 2018
Learning Region Features for Object Detection Jiayuan Gu Han Hu Liwei Wang Yichen Wei Jifeng Dai ObjD 49 78 0 19 Mar 2018
Dynamic Graph CNN for Learning on Point Clouds Yue Wang Yongbin Sun Ziwei Liu Sanjay E. Sarma M. Bronstein Justin Solomon GNN 3DPC 203 6,076 0 24 Jan 2018
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition Sijie Yan Yuanjun Xiong Dahua Lin GNN 179 4,124 0 23 Jan 2018
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning Qimai Li Zhichao Han Xiao-Ming Wu GNN SSL 138 2,796 0 22 Jan 2018
Adaptive Graph Convolutional Neural Networks Ruoyu Li Sheng Wang Feiyun Zhu Junzhou Huang GNN 86 750 0 10 Jan 2018
Relation Networks for Object Detection Han Hu Jiayuan Gu Zheng Zhang Jifeng Dai Yichen Wei ObjD 66 1,222 0 30 Nov 2017
Convolutional Networks with Adaptive Inference Graphs Andreas Veit Serge J. Belongie OOD GNN 60 384 0 30 Nov 2017
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs Loic Landrieu M. Simonovsky GNN 3DPC 110 1,245 0 27 Nov 2017
GraphGAN: Graph Representation Learning with Generative Adversarial Nets Hongwei Wang Jia Wang Jialin Wang Miao Zhao Weinan Zhang Fuzheng Zhang Xing Xie Minyi Guo GNN GAN 40 623 0 22 Nov 2017
Residual Gated Graph ConvNets Xavier Bresson T. Laurent GNN 102 475 0 20 Nov 2017
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 248 19,902 0 30 Oct 2017
Predicting multicellular function through multi-layer tissue networks Marinka Zitnik J. Leskovec 44 538 0 14 Jul 2017
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space C. Qi L. Yi Hao Su Leonidas Guibas 3DPC 3DV 229 11,000 0 07 Jun 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 304 15,066 0 07 Jun 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 361 14,191 0 02 Dec 2016
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 319 1,813 0 25 Nov 2016
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 189 5,323 0 03 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 359 28,795 0 09 Sep 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks Mohammad Rastegari Vicente Ordonez Joseph Redmon Ali Farhadi MQ 122 4,342 0 16 Mar 2016
Binarized Neural Networks Itay Hubara Daniel Soudry Ran El-Yaniv MQ 94 1,349 0 08 Feb 2016
Bitwise Neural Networks Minje Kim Paris Smaragdis MQ 48 217 0 22 Jan 2016