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Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding

Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding

25 May 2019
Ninghao Liu
Qiaoyu Tan
Yuening Li
Hongxia Yang
Jingren Zhou
Xia Hu
ArXivPDFHTML

Papers citing "Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding"

12 / 12 papers shown
Title
DEGREE: Decomposition Based Explanation For Graph Neural Networks
DEGREE: Decomposition Based Explanation For Graph Neural Networks
Qizhang Feng
Ninghao Liu
Fan Yang
Ruixiang Tang
Mengnan Du
Xia Hu
25
22
0
22 May 2023
PersonaSAGE: A Multi-Persona Graph Neural Network
PersonaSAGE: A Multi-Persona Graph Neural Network
G. Choudhary
I. Burhanuddin
Eunyee Koh
F. Du
Ryan A. Rossi
21
0
0
28 Dec 2022
Graph Contrastive Learning with Personalized Augmentation
Graph Contrastive Learning with Personalized Augmentation
X. Zhang
Qiaoyu Tan
Xiao Shi Huang
Bo-wen Li
41
15
0
14 Sep 2022
Improving Multi-Interest Network with Stable Learning
Improving Multi-Interest Network with Stable Learning
Zhaocheng Liu
Yingtao Luo
Di Zeng
Qiang Liu
Daqing Chang
Dongying Kong
Zhi Chen
HAI
44
1
0
14 Jul 2022
Attention-based Dynamic Subspace Learners for Medical Image Analysis
Attention-based Dynamic Subspace Learners for Medical Image Analysis
V. SukeshAdiga
Jose Dolz
H. Lombaert
18
1
0
18 Jun 2022
PinnerFormer: Sequence Modeling for User Representation at Pinterest
PinnerFormer: Sequence Modeling for User Representation at Pinterest
Nikil Pancha
Andrew Zhai
J. Leskovec
Charles R. Rosenberg
AI4TS
19
28
0
09 May 2022
Graph Embedding with Hierarchical Attentive Membership
Graph Embedding with Hierarchical Attentive Membership
Lu Lin
Ethan Blaser
Hongning Wang
19
10
0
31 Oct 2021
Pointspectrum: Equivariance Meets Laplacian Filtering for Graph
  Representation Learning
Pointspectrum: Equivariance Meets Laplacian Filtering for Graph Representation Learning
Marinos Poiitis
Pavlos Sermpezis
Athena Vakali
28
0
0
06 Sep 2021
Graph Neural Networks: Methods, Applications, and Opportunities
Graph Neural Networks: Methods, Applications, and Opportunities
Lilapati Waikhom
Ripon Patgiri
GNN
37
42
0
24 Aug 2021
MUSE: Multi-faceted Attention for Signed Network Embedding
MUSE: Multi-faceted Attention for Signed Network Embedding
Dengcheng Yan
Youwen Zhang
Wei Li
Yiwen Zhang
13
14
0
29 Apr 2021
Adversarial Attacks and Defenses: An Interpretation Perspective
Adversarial Attacks and Defenses: An Interpretation Perspective
Ninghao Liu
Mengnan Du
Ruocheng Guo
Huan Liu
Xia Hu
AAML
26
8
0
23 Apr 2020
Deep Structured Cross-Modal Anomaly Detection
Deep Structured Cross-Modal Anomaly Detection
Yuening Li
Ninghao Liu
Jundong Li
Mengnan Du
Xia Hu
19
14
0
11 Aug 2019
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