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
Contingency-Aware Influence Maximization: A Reinforcement Learning Approach Haipeng Chen Wei Qiu H. Ou Bo An Milind Tambe 16 19 0 13 Jun 2021
Solving Graph-based Public Good Games with Tree Search and Imitation Learning Victor-Alexandru Darvariu Stephen Hailes Mirco Musolesi 13 1 0 12 Jun 2021
Adversarial Graph Augmentation to Improve Graph Contrastive Learning Susheel Suresh Pan Li Cong Hao Jennifer Neville AAML 26 336 0 10 Jun 2021
A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs Runzhong Wang Zhigang Hua Gan Liu Jiayi Zhang Junchi Yan Feng Qi Shuang Yang Jun Zhou Xiaokang Yang 24 41 0 09 Jun 2021
Graph-based Deep Learning for Communication Networks: A Survey Weiwei Jiang GNN AI4CE 41 191 0 04 Jun 2021
OpenGraphGym-MG: Using Reinforcement Learning to Solve Large Graph Optimization Problems on MultiGPU Systems Weijian Zheng Dali Wang Fengguang Song GNN OffRL AI4CE 20 1 0 18 May 2021
Interpretable Drug Synergy Prediction with Graph Neural Networks for Human-AI Collaboration in Healthcare Zehao Dong Heming Zhang Yixin Chen Fuhai Li 13 8 0 14 May 2021
GIPA: General Information Propagation Algorithm for Graph Learning Qinkai Zheng Houyi Li Peng Zhang Zhixiong Yang Guowei Zhang Xintan Zeng Yongchao Liu 27 9 0 13 May 2021
Solve routing problems with a residual edge-graph attention neural network Kun Lei Peng Guo Yi Wang Xiao Wu Wenchao Zhao 32 54 0 06 May 2021
RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning Hankook Lee Sungsoo Ahn Seungkil Seo Y. Song Eunho Yang Sung Ju Hwang Jinwoo Shin 11 18 0 03 May 2021
GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy Yongchao Liu Houyi Li Guowei Zhang Xintan Zeng Yongyong Li ... Peng Zhang Zhao Li Kefeng Deng Changhua He Wenguang Chen GNN 49 11 0 21 Apr 2021
Multi-fold Correlation Attention Network for Predicting Traffic Speeds with Heterogeneous Frequency Yidan Sun Guiyuan Jiang S. Lam Peilan He Fangxin Ning 11 4 0 19 Apr 2021
Histopathology WSI Encoding based on GCNs for Scalable and Efficient Retrieval of Diagnostically Relevant Regions Yushan Zheng Zhi-guo Jiang Haopeng Zhang Feng-ying Xie Jun Shi Chenghai Xue 20 4 0 16 Apr 2021
Spatial Dual-Modality Graph Reasoning for Key Information Extraction Hongbin Sun Zhanghui Kuang Xiaoyu Yue Chenhao Lin Wayne Zhang 14 36 0 26 Mar 2021
Language-Agnostic Representation Learning of Source Code from Structure and Context Daniel Zügner Tobias Kirschstein Michele Catasta J. Leskovec Stephan Günnemann 30 119 0 21 Mar 2021
A Comprehensive Survey of Scene Graphs: Generation and Application Xiaojun Chang Pengzhen Ren Pengfei Xu Zhihui Li Xiaojiang Chen Alexander G. Hauptmann 3DV 33 222 0 17 Mar 2021
A Biased Graph Neural Network Sampler with Near-Optimal Regret Qingru Zhang David Wipf Quan Gan Le Song 40 24 0 01 Mar 2021
Snowflake: Scaling GNNs to High-Dimensional Continuous Control via Parameter Freezing Charlie Blake Vitaly Kurin Maximilian Igl Shimon Whiteson AI4CE 21 13 0 01 Mar 2021
Accurate Learning of Graph Representations with Graph Multiset Pooling Jinheon Baek Minki Kang Sung Ju Hwang 36 173 0 23 Feb 2021
Combinatorial optimization and reasoning with graph neural networks Quentin Cappart Didier Chételat Elias Boutros Khalil Andrea Lodi Christopher Morris Petar Velickovic AI4CE 32 348 0 18 Feb 2021
SeaPearl: A Constraint Programming Solver guided by Reinforcement Learning Félix Chalumeau Ilan Coulon Quentin Cappart Louis-Martin Rousseau 36 21 0 18 Feb 2021
HINT: Hierarchical Interaction Network for Trial Outcome Prediction Leveraging Web Data Tianfan Fu Kexin Huang Cao Xiao Lucas Glass Jimeng Sun 41 59 0 08 Feb 2021
Zero Training Overhead Portfolios for Learning to Solve Combinatorial Problems Yiwei Bai Wenting Zhao Carla P. Gomes 8 0 0 05 Feb 2021
Process-Level Representation of Scientific Protocols with Interactive Annotation Ronen Tamari Fan Bai Alan Ritter Gabriel Stanovsky 11 19 0 25 Jan 2021
PalmTree: Learning an Assembly Language Model for Instruction Embedding Xuezixiang Li Qu Yu Heng Yin 24 144 0 21 Jan 2021
Active Screening for Recurrent Diseases: A Reinforcement Learning Approach H. Ou Haipeng Chen S. Jabbari Milind Tambe OffRL 14 6 0 07 Jan 2021
A Hierarchical Reasoning Graph Neural Network for The Automatic Scoring of Answer Transcriptions in Video Job Interviews Kai Chen M. Niu Qingcai Chen 23 5 0 22 Dec 2020
Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems Liang Xin Wen Song Zhiguang Cao Jie Zhang 31 148 0 19 Dec 2020
Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching Chang-rui Liu Zetian Jiang Runzhong Wang Junchi Yan Lingxiao Huang P. Lu 27 9 0 16 Dec 2020
Hierarchical Graph Capsule Network Jinyu Yang P. Zhao Yu Rong Chao-chao Yan Chunyuan Li Hehuan Ma Junzhou Huang 24 30 0 16 Dec 2020
Molecular machine learning with conformer ensembles Simon Axelrod Rafael Gómez-Bombarelli AI4CE 20 50 0 15 Dec 2020
A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks Renjie Liao R. Urtasun R. Zemel 24 87 0 14 Dec 2020
CommPOOL: An Interpretable Graph Pooling Framework for Hierarchical Graph Representation Learning Haoteng Tang Guixiang Ma Lifang He Heng-Chiao Huang Liang Zhan GNN 35 24 0 10 Dec 2020
Efficient Information Diffusion in Time-Varying Graphs through Deep Reinforcement Learning Matheus R. F. Mendonça André Barreto A. Ziviani 11 6 0 27 Nov 2020
Two-stage Training of Graph Neural Networks for Graph Classification Manh Tuan Do Noseong Park Kijung Shin GNN 16 10 0 10 Nov 2020
Graph Kernels: State-of-the-Art and Future Challenges Karsten M. Borgwardt Elisabetta Ghisu Felipe Llinares-López Leslie O’Bray Bastian Alexander Rieck AI4TS 31 103 0 07 Nov 2020
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning Muhan Zhang Pan Li Yinglong Xia Kai Wang Long Jin 19 186 0 30 Oct 2020
POMO: Policy Optimization with Multiple Optima for Reinforcement Learning Yeong-Dae Kwon Jinho Choo Byoungjip Kim Iljoo Yoon Youngjune Gwon Seungjai Min 18 314 0 30 Oct 2020
Controlled Molecule Generator for Optimizing Multiple Chemical Properties Bonggun Shin Sungsoo Park Jinyeong Bak Joyce C. Ho 33 15 0 26 Oct 2020
Accelerating Metropolis-Hastings with Lightweight Inference Compilation Feynman T. Liang Nimar S. Arora N. Tehrani Y. Li Michael Tingley E. Meijer 12 0 0 23 Oct 2020
Deep Reinforcement Learning for Electric Vehicle Routing Problem with Time Windows Bo Lin Bissan Ghaddar J. Nathwani AI4TS 21 93 0 05 Oct 2020
Graph Cross Networks with Vertex Infomax Pooling Maosen Li Siheng Chen Ya Zhang Ivor W. Tsang 27 58 0 05 Oct 2020
A General Framework for Charger Scheduling Optimization Problems Xuan Li Miao Jin 6 0 0 28 Sep 2020
Implicit Graph Neural Networks Fangda Gu Heng Chang Wenwu Zhu Somayeh Sojoudi L. Ghaoui GNN 29 147 0 14 Sep 2020
Beyond Observed Connections : Link Injection Jie Bu M. Maruf Arka Daw GNN 14 0 0 02 Sep 2020
Deep Hypergraph U-Net for Brain Graph Embedding and Classification Mert Lostar I. Rekik GNN 6 10 0 30 Aug 2020
CORAL: COde RepresentAtion Learning with Weakly-Supervised Transformers for Analyzing Data Analysis Ashley Ge Zhang Michael Merrill Yang Liu Jeffrey Heer Tim Althoff ViT 28 13 0 28 Aug 2020
Towards Structured Prediction in Bioinformatics with Deep Learning Yu Li AI4CE 8 1 0 25 Aug 2020
Graph Polish: A Novel Graph Generation Paradigm for Molecular Optimization Chaojie Ji Yijia Zheng Ruxin Wang Yunpeng Cai Hongyan Wu 26 18 0 14 Aug 2020
Hierarchical BiGraph Neural Network as Recommendation Systems Dom Huh 17 1 0 27 Jul 2020