Visualizing Large-scale and High-dimensional Data

1 February 2016

Jian Tang

Papers citing "Visualizing Large-scale and High-dimensional Data"

48 / 98 papers shown

Title
ANDRUSPEX : Leveraging Graph Representation Learning to Predict Harmful App Installations on Mobile Devices Yun Shen Gianluca Stringhini 29 4 0 09 Mar 2021
t-SNE, Forceful Colorings and Mean Field Limits Yulan Zhang Stefan Steinerberger 21 12 0 25 Feb 2021
Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization Yingfan Wang Haiyang Huang Cynthia Rudin Yaron Shaposhnik 174 306 0 08 Dec 2020
Auto-Encoding Variational Bayes for Inferring Topics and Visualization D. Pham Tuan M. V. Le BDL 9 13 0 19 Oct 2020
Facilitate the Parametric Dimension Reduction by Gradient Clipping Chien-Hsun Lai Yu-Shuen Wang 8 0 0 30 Sep 2020
Parametric UMAP embeddings for representation and semi-supervised learning Tim Sainburg Leland McInnes T. Gentner 31 217 0 27 Sep 2020
Force2Vec: Parallel force-directed graph embedding Md. Khaledur Rahman Majedul Haque Sujon A. Azad GNN 19 18 0 17 Sep 2020
A Distance-preserving Matrix Sketch Leland Wilkinson Hengrui Luo 8 7 0 08 Sep 2020
ChemVA: Interactive Visual Analysis of Chemical Compound Similarity in Virtual Screening María Virginia Sabando Pavol Ulbrich M. Selzer Jan Byvska Jan Mivcan I. Ponzoni Axel J. Soto M. L. Ganuza Barbora Kozlíková 12 10 0 30 Aug 2020
DINE: A Framework for Deep Incomplete Network Embedding Ke Hou Jiaying Liu Yin Peng Bo Xu Ivan Lee Feng Xia 21 3 0 09 Aug 2020
Attraction-Repulsion Spectrum in Neighbor Embeddings Jan Niklas Böhm Philipp Berens D. Kobak 34 53 0 17 Jul 2020
Visualizing the Finer Cluster Structure of Large-Scale and High-Dimensional Data Yuefeng Liang A. Chaudhuri Haoyu Wang 18 0 0 17 Jul 2020
Network Embedding with Completely-imbalanced Labels Zheng Wang Xiaojun Ye Chaokun Wang Jian Cui Philip S. Yu 17 55 0 07 Jul 2020
Benchmark and Best Practices for Biomedical Knowledge Graph Embeddings David Chang Ivana Balazevic Carl Allen Daniel Chawla C. Brandt R. Taylor 22 40 0 24 Jun 2020
MMCGAN: Generative Adversarial Network with Explicit Manifold Prior Guanhua Zheng Jitao Sang Changsheng Xu GAN 14 1 0 18 Jun 2020
The role of exchangeability in causal inference O. Saarela D. Stephens E. Moodie 44 6 0 02 Jun 2020
An Entropy Based Outlier Score and its Application to Novelty Detection for Road Infrastructure Images Jonas Wurst Alberto Fernández M. Botsch Wolfgang Utschick 14 2 0 27 May 2020
NCVis: Noise Contrastive Approach for Scalable Visualization A. Artemenkov Maxim Panov 16 20 0 30 Jan 2020
ShapeVis: High-dimensional Data Visualization at Scale Nupur Kumari R. Siddarth Akash Rupela Piyush B. Gupta Balaji Krishnamurthy 10 3 0 15 Jan 2020
Self Organizing Nebulous Growths for Robust and Incremental Data Visualization Damith A. Senanayake Wei Wang S. Naik Saman K. Halgamuge AI4TS 18 16 0 09 Dec 2019
TriMap: Large-scale Dimensionality Reduction Using Triplets Ehsan Amid Manfred K. Warmuth 19 118 0 01 Oct 2019
MEGAN: A Generative Adversarial Network for Multi-View Network Embedding Yiwei Sun Suhang Wang Tsung-Yu Hsieh Xianfeng Tang Vasant Honavar GAN 14 44 0 20 Aug 2019
Improving the Projection of Global Structures in Data through Spanning Trees Daniel Alcaide J. Aerts 19 0 0 12 Jul 2019
DANE: Domain Adaptive Network Embedding Yizhou Zhang Guojie Song Lun Du Shuwen Yang Yilun Jin OOD 27 78 0 03 Jun 2019
Conditional t-SNE: Complementary t-SNE embeddings through factoring out prior information Bo Kang Dario Garcia-Garcia Jefrey Lijffijt Raúl Santos-Rodríguez T. D. Bie 22 4 0 24 May 2019
Supporting Analysis of Dimensionality Reduction Results with Contrastive Learning Takanori Fujiwara Oh-Hyun Kwon K. Ma 19 77 0 10 May 2019
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding Zhaocheng Zhu Shizhen Xu Meng Qu Jian Tang GNN 19 112 0 02 Mar 2019
Heavy-tailed kernels reveal a finer cluster structure in t-SNE visualisations D. Kobak G. Linderman Stefan Steinerberger Y. Kluger Philipp Berens 19 36 0 15 Feb 2019
2-D Embedding of Large and High-dimensional Data with Minimal Memory and Computational Time Requirements W. Dzwinel R. Wcislo Stan Matwin 8 3 0 04 Feb 2019
Data Poisoning Attack against Unsupervised Node Embedding Methods Mingjie Sun Jian Tang Huichen Li Bo-wen Li Chaowei Xiao Yao-Liang Chen D. Song GNN AAML 14 67 0 30 Oct 2018
Manifold Learning of Four-dimensional Scanning Transmission Electron Microscopy Xin Li Ondrej Dyck M. Oxley A. Lupini Leland McInnes John Healy S. Jesse Sergei V. Kalinin 6 48 0 18 Oct 2018
Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation Jundong Li Liang Wu Huan Liu 8 35 0 26 Aug 2018
GPGPU Linear Complexity t-SNE Optimization Nicola Pezzotti Julian Thijssen A. Mordvintsev T. Höllt Baldur van Lew B. Lelieveldt E. Eisemann Anna Vilanova 16 10 0 28 May 2018
mQAPViz: A divide-and-conquer multi-objective optimization algorithm to compute large data visualizations C. Sanhueza Francia Jiménez Regina Berretta P. Moscato 11 0 0 02 Apr 2018
A more globally accurate dimensionality reduction method using triplets Ehsan Amid Manfred K. Warmuth 19 16 0 01 Mar 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction Leland McInnes John Healy James Melville 59 9,240 0 09 Feb 2018
Toward Metric Indexes for Incremental Insertion and Querying Edward Raff Charles K. Nicholas 21 2 0 12 Jan 2018
Deep Learning for Identifying Potential Conceptual Shifts for Co-creative Drawing Pegah Karimi N. Davis Kazjon Grace M. Maher 8 6 0 02 Jan 2018
Network Representation Learning: A Survey Daokun Zhang Jie Yin Xingquan Zhu Chengqi Zhang GNN AI4TS 38 618 0 04 Dec 2017
Adversarial Network Embedding Quanyu Dai Qiang Li Jian Tang Dan Wang GNN GAN 43 221 0 21 Nov 2017
Deep Co-Space: Sample Mining Across Feature Transformation for Semi-Supervised Learning Ziliang Chen Keze Wang Tianlin Li Pai Peng E. Izquierdo Liang Lin 34 9 0 28 Jul 2017
Iterative Manifold Embedding Layer Learned by Incomplete Data for Large-scale Image Retrieval Jian Xu Chunheng Wang Cheng-Zuo Qi Cunzhao Shi Baihua Xiao 6 20 0 14 Jul 2017
Accelerated Hierarchical Density Clustering Leland McInnes John Healy 27 393 0 20 May 2017
PixelSNE: Visualizing Fast with Just Enough Precision via Pixel-Aligned Stochastic Neighbor Embedding Minjeong Kim Min-Je Choi Sunwoong Lee Jian Tang Haesun Park Jaegul Choo 20 8 0 08 Nov 2016
Fast Eigenspace Approximation using Random Signals Johan Paratte Lionel Martin 16 19 0 03 Nov 2016
EFANNA : An Extremely Fast Approximate Nearest Neighbor Search Algorithm Based on kNN Graph Cong Fu Deng Cai 43 109 0 23 Sep 2016
Doubly Stochastic Neighbor Embedding on Spheres Yao Lu J. Corander Zhirong Yang 27 22 0 07 Sep 2016
Visualizing Dynamics: from t-SNE to SEMI-MDPs Nir Ben-Zrihem Tom Zahavy Shie Mannor 17 13 0 22 Jun 2016