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Two papers accepted by computer vision conference - Institute for ...ibi.uky.edu › news › Two_papers_accepted_by_computer_vision_confere...
ibi.uky.edu
By Liyu Gong and Qiang Cheng Edge features contain important information about graphs. However, current state-of-the-art neural network models designed for ...
Radiology | Open Access Articles | Digital Commons Network™network.bepress.com › medical-specialties › radiology › page10
network.bepress.com
... Sarah R. Martha, Qiang Cheng, Justin F. Fraser, Liyu Gong, Lisa A. Collier, Stephanie M. Davis, Doug Lukins, Abdulnasser Alhajeri, Stephen Grupke, ...
Search Results for author: Liyu Gong - Papers With Codepaperswithcode.com › author › liyu-gong
paperswithcode.com
no code implementations • 28 Jan • Liyu Gong, Qiang Cheng. Moreover, we derive an intrinsic loss for UTDAT Lie group which can be calculated as l
Liyu Gong - CSAuthorswww.csauthors.net › liyu-gong
www.csauthors.net
Exploiting Edge Features for Graph Neural Networks. Liyu Gong. ,. Qiang Cheng. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, ...
Lie Group Auto-Encoder
arxiv.org
Authors:Liyu Gong, Qiang Cheng. (Submitted on 28 Jan 2019). Abstract: In this paper, we propose an auto-encoder based generative neural network model ...
Expression of Cytokines and Chemokines as Predictors of PubMedpubmed.ncbi.nlm.nih.gov › ...
pubmed.ncbi.nlm.nih.gov
Jan 15, · Sarah R Martha , Qiang Cheng , Justin F Fraser , Liyu Gong , Lisa A Collier , Stephanie M Davis , Doug Lukins
[PDF] Expression of Cytokines and Chemokines as Predictors of COREcore.ac.uk › download › pdf
core.ac.uk
Jan 15, · Sarah R. Martha, Qiang Cheng, Justin F. Fraser, Liyu Gong, Lisa A. Collier, Stephanie M. Davis, Doug Lukins,.
[PDF] Edge-Labeling Graph Neural Network for Few-shot Learningslsp.kaist.ac.kr › wiki › images
slsp.kaist.ac.kr
[36] Liyu Gong and Qiang Cheng. Adaptive edge features guided graph attention networks. arXiv preprint arXiv: ,.
[PPT] Exploiting Edge Features in Graph Neural Networks - TUM Wiki ...wiki.tum.de › download › attachments › Nasser_Akhil
wiki.tum.de
Liyu Gong, Qiang Cheng. Introduction. What is a Graph? Graph is a Data Structure that consists of vertices/nodes and edges. The Edges can be non-directional ...
yadanluo - CVPR Google Sitessites.google.com › view › yadanluo › reading-notes › cvpr-2019
sites.google.com
5245 Exploiting Edge Features in Graph Neural Networks Liyu Gong (University of Kentucky)*; Qiang Cheng (University of Kentucky). Task: Graph neural network ...
ATBRG: Adaptive Target-Behavior Relational Graph Network OUCIouci.dntb.gov.ua › works
ouci.dntb.gov.ua
Liyu Gong and Qiang Cheng Exploiting edge features for graph neural networks. In CVPR Liyu Gong and Qiang Cheng Exploiting edge ...
Exploiting Edge Features for Graph Neural Networks - CVPR openaccess.thecvf.com › content_CVPR_2019 › html › Gong_Exploiting_...
openaccess.thecvf.com
Liyu Gong, Qiang Cheng; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, pp Abstract.
Exploiting Edge Features in Graph Neural Networks - Paper Detaildeeplearn.org › arxiv › exploiting-edge-features-in-graph-neural-networks
deeplearn.org
Exploiting Edge Features in Graph Neural Networks :55:36; Liyu Gong, Qiang Cheng; 0. Abstract. Edge features contain important information ...
Lie Group Auto-Encoder-Research Paper(Others-Community)titanwolf.org › Network › Articles › Article
titanwolf.org
Authors, Liyu Gong, Qiang Cheng. Title, Lie Group Auto-Encoder. Abstract, In this paper, we propose an auto-encoder based generative neural network model ...
[PDF] Adaptive Edge Features Guided Graph Attention Networkswww.semanticscholar.org › paper › Adaptive-Edge-Features-Guided-Grap...
www.semanticscholar.org
Liyu Gong, Qiang Cheng; Published 2018; Computer Science, Mathematics; ArXiv. Edge features contain important information about graphs. [.
exploiting edge features for graph neural Nutley Public Librarywww.nutleypubliclibrary.org › ecbdkuh › exploiting-edge-features-for-gra...
www.nutleypubliclibrary.org
Jul 16, · Title:Exploiting Edge Features in Graph Neural Networks Authors:Liyu Gong, Qiang Cheng Download PDF Abstract:Edge features contain important ...
exploiting edge features for graph neural networks TBH Studiostbhstudios.com › hxg › exploiting-edge-features-for-graph-neural-network...
tbhstudios.com
Liyu Gong, Qiang Cheng. Image data can be seen as a spatial grid which is highly rigid (each pixel is connected to it's 8 neighboring pixels).
the ENCHANTED trial,Clinical Neurology and Neurosurgery - X-MOLwww.x-mol.com › paper
www.x-mol.com
Sarah R Martha,Qiang Cheng,Justin F Fraser,Liyu Gong,Lisa A Collier,Stephanie M Davis,Doug Lukins,Abdulnasser Alhajeri,Stephen Grupke,Keith R Pennypacker.
Adaptive Edge Features Guided Graph Attention Networks
www.groundai.com
Liyu Gong, 1 Qiang Cheng 1,2 1 Institute for Biomedical Informatics, University of Kentucky, Lexington, USA 2 Department of Computer Science ...
[ ] Exploiting Edge Features in Graph Neural Networks
arxiv-export-lb.library.cornell.edu
Authors: Liyu Gong, Qiang Cheng. (Submitted on 7 Sep (v1), last revised 28 Jan (this version, v2)). Abstract: Edge features contain important ...
Kallows Research Engine
kallows.com
Exploiting Edge Features in Graph Neural Networks · Liyu Gong, Qiang Cheng Date Published: 28 Jan, 2019(Originally Published: 7 Sep, 2018) Categories at ...
Profillic: where AI & robotics research takes off
www.catalyzex.com
Liyu Gong, Qiang Cheng. Edge features contain important information about graphs. However, current state-of-the-art neural network models designed for graph ...
[ v1] Adaptive Edge Features Guided Graph ...
128.84.21.199
Authors:Liyu Gong, Qiang Cheng. (Submitted on 7 Sep (this version), latest version 28 Jan (v2)). Abstract: Edge features contain important ...
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