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

Hongxia Yang

Jingren Zhou

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

8 / 8 papers shown

Title
DEGREE: Decomposition Based Explanation For Graph Neural Networks Qizhang Feng Ninghao Liu Fan Yang Ruixiang Tang Mengnan Du Xia Hu 23 22 0 22 May 2023
Graph Contrastive Learning with Personalized Augmentation X. Zhang Qiaoyu Tan Xiao Shi Huang Bo-wen Li 35 15 0 14 Sep 2022
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 V. SukeshAdiga Jose Dolz H. Lombaert 18 1 0 18 Jun 2022
PinnerFormer: Sequence Modeling for User Representation at Pinterest Nikil Pancha Andrew Zhai J. Leskovec Charles R. Rosenberg AI4TS 19 28 0 09 May 2022
Pointspectrum: Equivariance Meets Laplacian Filtering for Graph Representation Learning Marinos Poiitis Pavlos Sermpezis Athena Vakali 23 0 0 06 Sep 2021
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 Yuening Li Ninghao Liu Jundong Li Mengnan Du Xia Hu 19 14 0 11 Aug 2019