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
Co-training for Policy Learning Jialin Song Ravi Lanka Yisong Yue M. Ono OffRL 15 19 0 03 Jul 2019
Ego-CNN: Distributed, Egocentric Representations of Graphs for Detecting Critical Structures Ruo-Chun Tzeng Shan-Hung Wu GNN 16 13 0 23 Jun 2019
TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial Shaosheng Cao Xinxing Yang Cen Chen Jun Zhou Xiaolong Li Yuan Qi 27 57 0 18 Jun 2019
DISCO: Influence Maximization Meets Network Embedding and Deep Learning Hui Li Mengting Xu S. Bhowmick Changsheng Sun Zhongyuan Jiang Jiangtao Cui BDL 17 25 0 18 Jun 2019
Amortized Bethe Free Energy Minimization for Learning MRFs Sam Wiseman Yoon Kim TPM DRL 13 11 0 14 Jun 2019
Hierarchical Graph-to-Graph Translation for Molecules Wengong Jin Regina Barzilay Tommi Jaakkola 28 16 0 11 Jun 2019
Learning Representations of Graph Data -- A Survey Mital Kinderkhedia GNN 14 12 0 07 Jun 2019
Can Graph Neural Networks Help Logic Reasoning? Yuyu Zhang Xinshi Chen Yu’an Yang Arun Ramamurthy Bo Li Yuan Qi Le Song NAI AI4CE 18 13 0 05 Jun 2019
An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem Chaitanya K. Joshi T. Laurent Xavier Bresson GNN 22 358 0 04 Jun 2019
Cooperative neural networks (CoNN): Exploiting prior independence structure for improved classification H. Shrivastava Eugene Bart B. Price H. Dai Bo Dai S. Aluru 19 10 0 01 Jun 2019
Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning Hyunwook Kang Taehwan Kwon Jinkyoo Park J. R. Morrison 21 1 0 29 May 2019
Solving NP-Hard Problems on Graphs with Extended AlphaGo Zero Kenshi Abe Zijian Xu Issei Sato Masashi Sugiyama GNN AI4CE 27 54 0 28 May 2019
GMNN: Graph Markov Neural Networks Meng Qu Yoshua Bengio Jian Tang BDL GNN 22 288 0 15 May 2019
Multi-scale Dynamic Graph Convolutional Network for Hyperspectral Image Classification Sheng Wan Chen Gong P. Zhong Bo Du Lefei Zhang Jian Yang 24 359 0 14 May 2019
Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs Lingbing Guo Zequn Sun Wei Hu 20 262 0 13 May 2019
Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification Ting-Li Chen Song Bian Yizhou Sun 16 88 0 11 May 2019
Graph U-Nets Hongyang Gao Shuiwang Ji AI4CE SSL SSeg GNN 36 1,065 0 11 May 2019
Stability and Generalization of Graph Convolutional Neural Networks Saurabh Verma Zhi-Li Zhang GNN MLT 30 153 0 03 May 2019
Graph Convolutional Networks with EigenPooling Yao Ma Suhang Wang Charu C. Aggarwal Jiliang Tang GNN 37 331 0 30 Apr 2019
Inductive Matrix Completion Based on Graph Neural Networks Muhan Zhang Yixin Chen 25 231 0 26 Apr 2019
Learning Actor Relation Graphs for Group Activity Recognition Jianchao Wu Limin Wang Li Wang Jie Guo Gangshan Wu 32 239 0 23 Apr 2019
Deep Representation Learning for Social Network Analysis Qiaoyu Tan Ninghao Liu Xia Hu AI4TS GNN 27 100 0 18 Apr 2019
Self-Attention Graph Pooling Junhyun Lee Inyeop Lee Jaewoo Kang GNN 28 1,105 0 17 Apr 2019
Neural Message Passing for Multi-Label Classification Jack Lanchantin Arshdeep Sekhon Yanjun Qi 25 37 0 17 Apr 2019
Semi-Supervised Graph Classification: A Hierarchical Graph Perspective Jia Li Yu Rong Hong Cheng Helen Meng Wen-bing Huang Junzhou Huang 14 149 0 10 Apr 2019
Analyzing Learned Molecular Representations for Property Prediction Kevin Kaichuang Yang Kyle Swanson Wengong Jin Connor W. Coley Philipp Eiden ... Andrew Palmer Volker Settels Tommi Jaakkola K. Jensen Regina Barzilay 31 1,290 0 02 Apr 2019
GNNExplainer: Generating Explanations for Graph Neural Networks Rex Ying Dylan Bourgeois Jiaxuan You Marinka Zitnik J. Leskovec LLMAG 37 1,285 0 10 Mar 2019
Differentiable Scene Graphs Moshiko Raboh Roei Herzig Gal Chechik Jonathan Berant Amir Globerson OCL 27 34 0 26 Feb 2019
Coloring Big Graphs with AlphaGoZero Jiayi Huang Md. Mostofa Ali Patwary G. Diamos AI4CE GNN 12 49 0 26 Feb 2019
Functional Transparency for Structured Data: a Game-Theoretic Approach Guang-He Lee Wengong Jin David Alvarez-Melis Tommi Jaakkola 24 19 0 26 Feb 2019
Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back M. Simonovsky BDL GNN 29 1 0 24 Jan 2019
LanczosNet: Multi-Scale Deep Graph Convolutional Networks Renjie Liao Zhizhen Zhao R. Urtasun R. Zemel GNN 25 227 0 06 Jan 2019
V-Fuzz: Vulnerability-Oriented Evolutionary Fuzzing Yuwei Li S. Ji Chenyang Lv Yuan Chen Jianhai Chen Qinchen Gu Chunming Wu 22 49 0 04 Jan 2019
Graph Transformation Policy Network for Chemical Reaction Prediction Kien Do T. Tran Svetha Venkatesh 19 158 0 22 Dec 2018
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 33 5,406 0 20 Dec 2018
Learning Features of Network Structures Using Graphlets Kun Tu Jian Li Don Towsley Dave Braines Liam D. Turner GNN 18 2 0 13 Dec 2018
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 54 1,321 0 11 Dec 2018
Learning Multimodal Graph-to-Graph Translation for Molecular Optimization Wengong Jin Kevin Kaichuang Yang Regina Barzilay Tommi Jaakkola 33 224 0 03 Dec 2018
Spectral Multigraph Networks for Discovering and Fusing Relationships in Molecules Boris Knyazev Xiao Lin Mohamed R. Amer Graham W. Taylor GNN 28 31 0 23 Nov 2018
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon Yoshua Bengio Andrea Lodi Antoine Prouvost 89 1,353 0 15 Nov 2018
SAFE: Self-Attentive Function Embeddings for Binary Similarity Luca Massarelli Giuseppe Antonio Di Luna Fabio Petroni Leonardo Querzoni R. Baldoni 16 175 0 13 Nov 2018
Towards Sparse Hierarchical Graph Classifiers Cătălina Cangea Petar Velickovic Nikola Jovanović Thomas Kipf Pietro Lio GNN 41 257 0 03 Nov 2018
Unsupervised Features Extraction for Binary Similarity Using Graph Embedding Neural Networks R. Baldoni Giuseppe Antonio Di Luna Luca Massarelli Fabio Petroni Leonardo Querzoni 4 9 0 23 Oct 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 28 144 0 15 Oct 2018
Unpaired High-Resolution and Scalable Style Transfer Using Generative Adversarial Networks Andrej Junginger Markus Hanselmann Thilo Strauss Sebastian Boblest Jens S. Buchner Holger Ulmer GAN 6 10 0 10 Oct 2018
Deep Learning in Information Security S. Thaler Vlado Menkovski M. Petković 27 10 0 12 Sep 2018
Improving Optimization Bounds using Machine Learning: Decision Diagrams meet Deep Reinforcement Learning Quentin Cappart Emmanuel Goutierre David Bergman Louis-Martin Rousseau AI4CE 18 55 0 10 Sep 2018
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation Yunsheng Bai Haoyang Ding Song Bian Ting-Li Chen Yizhou Sun Wei Wang GNN 21 313 0 16 Aug 2018
Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks Yu Shi Qi Zhu Fang Guo Chao Zhang Jiawei Han 16 118 0 10 Jul 2018
Hierarchical Graph Representation Learning with Differentiable Pooling Rex Ying Jiaxuan You Christopher Morris Xiang Ren William L. Hamilton J. Leskovec GNN 93 2,124 0 22 Jun 2018