Differential equation and probability inspired graph neural networks for latent variable learning

28 February 2022

Papers citing "Differential equation and probability inspired graph neural networks for latent variable learning"

28 / 28 papers shown

Title
Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction Zhuangwei Shi Yang Hu Guangliang Mo Jianguo Wu AIFin 54 20 0 06 Apr 2022
Bidirectional LSTM-CRF Attention-based Model for Chinese Word Segmentation Chen Jin Zhuangwei Shi Weihua Li Yanbu Guo 64 9 0 20 May 2021
Incorporating Transformer and LSTM to Kalman Filter with EM algorithm for state estimation Zhuang Shi 86 11 0 01 May 2021
Continuous Graph Neural Networks Louis-Pascal Xhonneux Meng Qu Jian Tang GNN 89 154 0 02 Dec 2019
What Can Neural Networks Reason About? Keyulu Xu Jingling Li Mozhi Zhang S. Du Ken-ichi Kawarabayashi Stefanie Jegelka NAI AI4CE 65 245 0 30 May 2019
GMNN: Graph Markov Neural Networks Meng Qu Yoshua Bengio Jian Tang BDL GNN 57 291 0 15 May 2019
Graph U-Nets Hongyang Gao Shuiwang Ji AI4CE SSL SSeg GNN 127 1,086 0 11 May 2019
Graph Convolutional Networks with EigenPooling Yao Ma Suhang Wang Charu C. Aggarwal Jiliang Tang GNN 173 334 0 30 Apr 2019
Self-Attention Graph Pooling Junhyun Lee Inyeop Lee Jaewoo Kang GNN 172 1,119 0 17 Apr 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 233 3,172 0 19 Feb 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.7K 94,770 0 11 Oct 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 238 7,642 0 01 Oct 2018
Graph Convolutional Networks for Text Classification Liang Yao Chengsheng Mao Yuan Luo GNN 92 1,825 0 15 Sep 2018
Hierarchical Graph Representation Learning with Differentiable Pooling Rex Ying Jiaxuan You Christopher Morris Xiang Ren William L. Hamilton J. Leskovec GNN 292 2,146 0 22 Jun 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 411 5,103 0 19 Jun 2018
Attention-based Graph Neural Network for Semi-supervised Learning K. K. Thekumparampil Chong-Jun Wang Sewoong Oh Li Li GNN 68 333 0 10 Mar 2018
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning Qimai Li Zhichao Han Xiao-Ming Wu GNN SSL 184 2,826 0 22 Jan 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 479 20,138 0 30 Oct 2017
Maximum Principle Based Algorithms for Deep Learning Qianxiao Li Long Chen Cheng Tai E. Weinan 99 223 0 26 Oct 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 692 131,526 0 12 Jun 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 503 15,232 0 07 Jun 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 593 7,443 0 04 Apr 2017
Variational Graph Auto-Encoders Thomas Kipf Max Welling GNN BDL SSL CML 151 3,585 0 21 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 617 29,051 0 09 Sep 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,039 0 22 Dec 2014
Sequence to Sequence Learning with Neural Networks Ilya Sutskever Oriol Vinyals Quoc V. Le AIMat 434 20,553 0 10 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 552 27,300 0 01 Sep 2014
DeepWalk: Online Learning of Social Representations Bryan Perozzi Rami Al-Rfou Steven Skiena HAI 254 9,789 0 26 Mar 2014