Max-Margin Nonparametric Latent Feature Models for Link Prediction

18 June 2012

Jun Zhu

Papers citing "Max-Margin Nonparametric Latent Feature Models for Link Prediction"

26 / 26 papers shown

Title
Deep Sparse Latent Feature Models for Knowledge Graph Completion Haotian Li Rui Zhang Lingzhi Wang Bin Yu Y. Wang Yuliang Wei Kai Wang Richard Y. D. Xu Bailing Wang BDL 57 0 0 24 Nov 2024
Multi-scale Graph Convolutional Networks with Self-Attention Zhilong Xiong Jia Cai GNN 35 2 0 04 Dec 2021
SStaGCN: Simplified stacking based graph convolutional networks Jia Cai Zhilong Xiong Shaogao Lv GNN 30 1 0 16 Nov 2021
The Feature-First Block Model Lawrence Tray Ioannis Kontoyiannis 23 1 0 28 May 2021
Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs Nurendra Choudhary Nikhil S. Rao S. Katariya Karthik Subbian Chandan K. Reddy 8 64 0 23 Dec 2020
A Simple Approach to Case-Based Reasoning in Knowledge Bases Rajarshi Das Ameya Godbole S. Dhuliawala Manzil Zaheer Andrew McCallum 6 24 0 25 Jun 2020
AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models Ke Sun Zhanxing Zhu Zhouchen Lin GNN 12 78 0 14 Aug 2019
Stochastic Blockmodels meet Graph Neural Networks Nikhil Mehta Lawrence Carin Piyush Rai BDL 22 78 0 14 May 2019
Virtual Adversarial Training on Graph Convolutional Networks in Node Classification Ke Sun Zhouchen Lin Hantao Guo Zhanxing Zhu 14 24 0 28 Feb 2019
Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labels Ke Sun Zhouchen Lin Zhanxing Zhu SSL 23 272 0 28 Feb 2019
IMMIGRATE: A Margin-based Feature Selection Method with Interaction Terms Ruzhang Zhao Pengyu Hong Jun S. Liu 11 1 0 05 Oct 2018
Small-Variance Asymptotics for Nonparametric Bayesian Overlapping Stochastic Blockmodels Gundeep Arora Anupreet Porwal Kanupriya Agarwal Avani Samdariya Piyush Rai 11 3 0 10 Jul 2018
Deep Generative Models for Relational Data with Side Information Changwei Hu Piyush Rai Lawrence Carin BDL 17 12 0 16 Jun 2017
Generalized linear models with low rank effects for network data Yun-Jhong Wu Elizaveta Levina Ji Zhu 10 16 0 18 May 2017
Log-Normal Matrix Completion for Large Scale Link Prediction Brian Mohtashemi T. Ketseoglou 18 1 0 28 Jan 2016
Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation B. Chen Ning Chen Jun Zhu Jiaming Song Bo Zhang BDL 16 3 0 07 Dec 2015
Building Memory with Concept Learning Capabilities from Large-scale Knowledge Base Jiaxin Shi Jun Zhu 13 2 0 03 Dec 2015
Modeling Relation Paths for Representation Learning of Knowledge Bases Yankai Lin Zhiyuan Liu Huanbo Luan Maosong Sun S. Rao Song Liu 15 613 0 01 Jun 2015
Big Learning with Bayesian Methods Jun Zhu Jianfei Chen Wenbo Hu Bo Zhang BDL 27 83 0 24 Nov 2014
A Constrained Matrix-Variate Gaussian Process for Transposable Data Oluwasanmi Koyejo Cheng H. Lee Joydeep Ghosh 27 3 0 27 Apr 2014
Online Bayesian Passive-Aggressive Learning Tianlin Shi Jun Zhu 53 38 0 12 Dec 2013
Gibbs Max-margin Topic Models with Data Augmentation Jun Zhu Ning Chen Hugh Perkins Bo Zhang TPM 33 85 0 10 Oct 2013
Discriminative Relational Topic Models Ning Chen Jun Zhu Fei Xia Bo Zhang 43 34 0 09 Oct 2013
Constrained Bayesian Inference for Low Rank Multitask Learning Oluwasanmi Koyejo Joydeep Ghosh BDL 25 17 0 26 Sep 2013
Dynamic Infinite Mixed-Membership Stochastic Blockmodel Xuhui Fan LongBing Cao R. Xu 45 27 0 13 Jun 2013
Bayesian Inference with Posterior Regularization and applications to Infinite Latent SVMs Jun Zhu Ning Chen Eric P. Xing BDL 55 156 0 05 Oct 2012