Discriminative Embeddings of Latent Variable Models for Structured Data

17 March 2016

Papers citing "Discriminative Embeddings of Latent Variable Models for Structured Data"

50 / 293 papers shown

Title
Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical Analysis Yifei Shen Yuanming Shi Jun Zhang Khaled B. Letaief GNN 10 260 0 15 Jul 2020
M-Evolve: Structural-Mapping-Based Data Augmentation for Graph Classification Jiajun Zhou Jie Shen Shanqing Yu Guanrong Chen Qi Xuan 17 23 0 11 Jul 2020
Approximating Network Centrality Measures Using Node Embedding and Machine Learning Matheus R. F. Mendonça André Barreto A. Ziviani GNN 20 20 0 29 Jun 2020
Improved Conditional Flow Models for Molecule to Image Synthesis Karren D. Yang Samuel Goldman Wengong Jin Alex X. Lu Regina Barzilay Tommi Jaakkola Caroline Uhler MedIm 16 7 0 15 Jun 2020
Bandit Samplers for Training Graph Neural Networks Ziqi Liu Zhengwei Wu Qing Cui Jun Zhou Shuang Yang Le Song Yuan Qi 37 47 0 10 Jun 2020
GEOM: Energy-annotated molecular conformations for property prediction and molecular generation Simon Axelrod Rafael Gómez-Bombarelli 3DV AI4CE 36 208 0 09 Jun 2020
Graph Minors Meet Machine Learning: the Power of Obstructions F. Abu-Khzam M. A. El-Wahab Noureldin Yosri AAML 23 0 0 08 Jun 2020
Optimal Transport Graph Neural Networks Benson Chen Gary Bécigneul O. Ganea Regina Barzilay Tommi Jaakkola OT 39 44 0 08 Jun 2020
DeepGG: a Deep Graph Generator Julian Stier Michael Granitzer GNN BDL 24 5 0 07 Jun 2020
Enforcing Predictive Invariance across Structured Biomedical Domains Wengong Jin Regina Barzilay Tommi Jaakkola OOD 26 27 0 06 Jun 2020
Learning Combinatorial Optimization on Graphs: A Survey with Applications to Networking N. Vesselinova Rebecca Steinert Daniel F. Perez-Ramirez Magnus Boman GNN AI4CE 20 141 0 22 May 2020
Solve Traveling Salesman Problem by Monte Carlo Tree Search and Deep Neural Network Zhihao Xing Shikui Tu Lei Xu 14 14 0 14 May 2020
MLSolv-A: A Novel Machine Learning-Based Prediction of Solvation Free Energies from Pairwise Atomistic Interactions Hyuntae Lim YounJoon Jung 19 38 0 13 May 2020
Can We Learn Heuristics For Graphical Model Inference Using Reinforcement Learning? Safa Messaoud Maghav Kumar A. Schwing 27 5 0 27 Apr 2020
A State Aggregation Approach for Solving Knapsack Problem with Deep Reinforcement Learning Reza Refaei Afshar Yingqian Zhang M. Firat U. Kaymak OffRL 16 13 0 25 Apr 2020
Variational Policy Propagation for Multi-agent Reinforcement Learning C. Qu Hui Li Chang-rui Liu Junwu Xiong James Y. Zhang Wei Chu Weiqiang Wang Yuan Qi L. Song 20 0 0 19 Apr 2020
MxPool: Multiplex Pooling for Hierarchical Graph Representation Learning Yanyan Liang Yanfeng Zhang Dechao Gao Qian Xu GNN 14 4 0 15 Apr 2020
Unsupervised Hierarchical Graph Representation Learning by Mutual Information Maximization Fei Ding Xiaohong Zhang Justin Sybrandt Ilya Safro SSL 16 6 0 18 Mar 2020
A Survey on The Expressive Power of Graph Neural Networks Ryoma Sato 184 172 0 09 Mar 2020
COPT: Coordinated Optimal Transport for Graph Sketching Yihe Dong W. Sawin OT 43 26 0 09 Mar 2020
Reinforcement Learning for Combinatorial Optimization: A Survey Nina Mazyavkina S. Sviridov Sergei Ivanov Evgeny Burnaev 38 603 0 07 Mar 2020
InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance Cen Chen Chen Liang J. Lin Li Wang Ziqi Liu Xinxing Yang Xiukun Wang Jun Zhou Shuang Yang Yuan Qi 37 11 0 05 Mar 2020
Heterogeneous Graph Neural Networks for Malicious Account Detection Ziqi Liu Chaochao Chen Xinxing Yang Jun Zhou Xiaolong Li Le Song 20 349 0 27 Feb 2020
Memory-Based Graph Networks Amir Hosein Khas Ahmadi Kaveh Hassani Parsa Moradi Leo Lee Q. Morris GNN 29 90 0 21 Feb 2020
Generalization and Representational Limits of Graph Neural Networks Vikas K. Garg Stefanie Jegelka Tommi Jaakkola GNN 26 304 0 14 Feb 2020
Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent Reinforcement Learning Approach Kecheng Zhang Meng Li Zhengchao Zhang Xi Lin Fang He 104 139 0 13 Feb 2020
A Deep Reinforcement Learning Algorithm Using Dynamic Attention Model for Vehicle Routing Problems Bo Peng Jiahai Wang Zizhen Zhang 20 73 0 09 Feb 2020
Hierarchical Generation of Molecular Graphs using Structural Motifs Wengong Jin Regina Barzilay Tommi Jaakkola 26 279 0 08 Feb 2020
Goal-directed graph construction using reinforcement learning Victor-Alexandru Darvariu Stephen Hailes Mirco Musolesi 13 14 0 30 Jan 2020
Efficient Probabilistic Logic Reasoning with Graph Neural Networks Yuyu Zhang Xinshi Chen Yu’an Yang Arun Ramamurthy Bo-wen Li Yuan Qi Le Song AI4CE 17 111 0 29 Jan 2020
cube2net: Efficient Query-Specific Network Construction with Data Cube Organization Carl Yang Mengxiong Liu Frank S. He Jian Peng Jiawei Han 11 0 0 18 Jan 2020
Retrosynthesis Prediction with Conditional Graph Logic Network H. Dai Chengtao Li Connor W. Coley Bo Dai Le Song 26 177 0 06 Jan 2020
Deep Graph Similarity Learning: A Survey Guixiang Ma Nesreen Ahmed Theodore L. Willke Philip S. Yu GNN 21 77 0 25 Dec 2019
Multi-Channel Graph Convolutional Networks Kaixiong Zhou Qingquan Song Xiao Shi Huang Daochen Zha Na Zou Xia Hu 22 6 0 17 Dec 2019
CORE: Automatic Molecule Optimization Using Copy & Refine Strategy Tianfan Fu Cao Xiao Jimeng Sun 31 63 0 23 Nov 2019
Customized Graph Embedding: Tailoring Embedding Vectors to different Applications Bitan Hou Yujing Wang Ming Zeng Shan Jiang Ole J. Mengshoel Yunhai Tong Jing Bai 19 2 0 21 Nov 2019
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks Difan Zou Ziniu Hu Yewen Wang Song Jiang Yizhou Sun Quanquan Gu GNN 25 278 0 17 Nov 2019
Learning Transferable Graph Exploration H. Dai Yujia Li Chenglong Wang Rishabh Singh Po-Sen Huang Pushmeet Kohli 17 21 0 28 Oct 2019
Graph Convolutional Policy for Solving Tree Decomposition via Reinforcement Learning Heuristics Taras Khakhulin R. Schutski Ivan Oseledets 31 0 0 18 Oct 2019
Shapley Homology: Topological Analysis of Sample Influence for Neural Networks Kaixuan Zhang Qinglong Wang Xue Liu C. Lee Giles TDI 28 3 0 15 Oct 2019
How to Evaluate Machine Learning Approaches for Combinatorial Optimization: Application to the Travelling Salesman Problem Antoine François Quentin Cappart Louis-Martin Rousseau 19 13 0 28 Sep 2019
Learning Universal Graph Neural Network Embeddings With Aid Of Transfer Learning Saurabh Verma Zhi-Li Zhang FedML GNN SSL 20 9 0 22 Sep 2019
Node Injection Attacks on Graphs via Reinforcement Learning Yiwei Sun Suhang Wang Xianfeng Tang Tsung-Yu Hsieh Vasant Honavar GNN AAML 4 43 0 14 Sep 2019
Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks Yaqin Zhou Shangqing Liu J. Siow Xiaoning Du Yang Liu GNN 11 742 0 08 Sep 2019
Understanding Human Gaze Communication by Spatio-Temporal Graph Reasoning Lifeng Fan Wenguan Wang Siyuan Huang Xinyu Tang Song-Chun Zhu 14 107 0 04 Sep 2019
Continuous Graph Flow Zhiwei Deng Megha Nawhal Lili Meng Greg Mori 23 3 0 07 Aug 2019
Sparse hierarchical representation learning on molecular graphs M. Bal Hagen Triendl Mariana Assmann M. Craig Lawrence Phillips J. Frost Usman Bashir Noor Shaker V. Stojevic GNN 16 1 0 06 Aug 2019
Expressive Graph Informer Networks Jaak Simm Adam Arany E. Brouwer Yves Moreau GNN 28 2 0 25 Jul 2019
A Graph Neural Network Approach for Scalable Wireless Power Control Yifei Shen Yuanming Shi Jun Zhang Khaled B. Letaief GNN 21 79 0 19 Jul 2019
Online Mixed-Integer Optimization in Milliseconds Dimitris Bertsimas Bartolomeo Stellato 11 89 0 04 Jul 2019