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
ToupleGDD: A Fine-Designed Solution of Influence Maximization by Deep Reinforcement Learning Tiantian Chen Siwen Yan Jianxiong Guo Weili Wu 19 22 0 14 Oct 2022
GIDN: A Lightweight Graph Inception Diffusion Network for High-efficient Link Prediction Zixiao Wang Yuluo Guo Jin Zhao Yu Zhang Hui Yu Xiaofei Liao Biao Wang Ting Yu DiffM GNN 29 6 0 04 Oct 2022
Differentiable Parsing and Visual Grounding of Natural Language Instructions for Object Placement Zirui Zhao W. Lee David Hsu OOD 32 9 0 01 Oct 2022
GLSO: Grammar-guided Latent Space Optimization for Sample-efficient Robot Design Automation Jiaheng Hu Julian Whiman Howie Choset 42 16 0 23 Sep 2022
Interpreting the Mechanism of Synergism for Drug Combinations Using Attention-Based Hierarchical Graph Pooling Zehao Dong Heming Zhang Yixin Chen Philip R. O. Payne Fuhai Li GNN 46 16 0 19 Sep 2022
A Class-Aware Representation Refinement Framework for Graph Classification Jiaxing Xu Jinjie Ni Yiping Ke GNN 29 4 0 02 Sep 2022
Black-box Attacks Against Neural Binary Function Detection Josh Bundt Michael Davinroy Ioannis Agadakos Alina Oprea William K. Robertson AAML 29 1 0 24 Aug 2022
Oversquashing in GNNs through the lens of information contraction and graph expansion P. Banerjee Kedar Karhadkar Yu Guang Wang Uri Alon Guido Montúfar 21 44 0 06 Aug 2022
Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction Maosen Li Siheng Chen Zijing Zhang Lingxi Xie Qi Tian Ya Zhang 3DH 25 47 0 31 Jul 2022
FunQG: Molecular Representation Learning Via Quotient Graphs H. Hajiabolhassan Zahra Taheri Ali Hojatnia Yavar Taheri Yeganeh 18 7 0 18 Jul 2022
Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model Haoteng Tang Guixiang Ma Lei Guo Xiyao Fu Heng-Chiao Huang Li Zhang 28 24 0 14 Jul 2022
Challenges and Opportunities in Deep Reinforcement Learning with Graph Neural Networks: A Comprehensive review of Algorithms and Applications Sai Munikoti D. Agarwal L. Das M. Halappanavar Balasubramaniam Natarajan GNN OffRL AI4CE 35 59 0 16 Jun 2022
Deep Reinforcement Learning for Exact Combinatorial Optimization: Learning to Branch Tianyu Zhang Amin Banitalebi-Dehkordi Yong Zhang BDL OffRL 16 14 0 14 Jun 2022
Distributed Graph Neural Network Training with Periodic Stale Representation Synchronization Zheng Chai Guangji Bai Liang Zhao Yue Cheng GNN 30 3 0 31 May 2022
Dynamic Network Reconfiguration for Entropy Maximization using Deep Reinforcement Learning C. Doorman Victor-Alexandru Darvariu Stephen Hailes Mirco Musolesi 19 2 0 26 May 2022
jTrans: Jump-Aware Transformer for Binary Code Similarity Hao Wang Wenjie Qu Gilad Katz Wenyu Zhu Zeyu Gao Han Qiu Jianwei Zhuge Chao Zhang 13 114 0 25 May 2022
LeNSE: Learning To Navigate Subgraph Embeddings for Large-Scale Combinatorial Optimisation David Ireland Giovanni Montana GNN 14 10 0 20 May 2022
A graph representation of molecular ensembles for polymer property prediction Matteo Aldeghi Connor W. Coley AI4CE 25 43 0 17 May 2022
FP-GNN: a versatile deep learning architecture for enhanced molecular property prediction Hanxuan Cai Huimin Zhang Duancheng Zhao Jingxing Wu Ling Wang 36 123 0 08 May 2022
LibDB: An Effective and Efficient Framework for Detecting Third-Party Libraries in Binaries Wei Tang Yanlin Wang Hongyu Zhang Shi Han Ping Luo Dongmei Zhang 10 27 0 21 Apr 2022
Infusing Linguistic Knowledge of SMILES into Chemical Language Models Ingoo Lee Hojung Nam 29 6 0 20 Apr 2022
Theory of Graph Neural Networks: Representation and Learning Stefanie Jegelka GNN AI4CE 33 68 0 16 Apr 2022
Neural Structured Prediction for Inductive Node Classification Meng Qu Huiyu Cai Jian Tang BDL GNN 13 18 0 15 Apr 2022
A Differentiable Approach to Combinatorial Optimization using Dataless Neural Networks Ismail R. Alkhouri George Atia Alvaro Velasquez 21 2 0 15 Mar 2022
Learning Neural Set Functions Under the Optimal Subset Oracle Zijing Ou Tingyang Xu Qinliang Su Yingzhen Li P. Zhao Yatao Bian BDL 18 9 0 03 Mar 2022
Detecting out-of-context objects using contextual cues Manoj Acharya Anirban Roy K. Koneripalli Susmit Jha Christopher Kanan Ajay Divakaran 11 4 0 11 Feb 2022
SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation Jun Xia Lirong Wu Jintao Chen Bozhen Hu Stan Z. Li 19 280 0 07 Feb 2022
Generalization Analysis of Message Passing Neural Networks on Large Random Graphs Sohir Maskey Ron Levie Yunseok Lee Gitta Kutyniok GNN 83 54 0 01 Feb 2022
Automated Reinforcement Learning: An Overview Reza Refaei Afshar Yingqian Zhang Joaquin Vanschoren U. Kaymak OffRL 36 16 0 13 Jan 2022
hybrid-Falcon: Hybrid Pattern Malware Detection and Categorization with Network Traffic and Program Code Peng Xu Claudia Eckert Apostolis Zarras 30 4 0 19 Dec 2021
Learning to Model the Relationship Between Brain Structural and Functional Connectomes Yang Li Gonzalo Mateos Zhengwu Zhang 28 10 0 18 Dec 2021
Efficient Dynamic Graph Representation Learning at Scale Xinshi Chen Yan Zhu Haowen Xu Mengya Liu Liang Xiong Muhan Zhang Le Song 22 7 0 14 Dec 2021
Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural Networks P. Esser L. C. Vankadara D. Ghoshdastidar 28 53 0 07 Dec 2021
Graph-based Solutions with Residuals for Intrusion Detection: the Modified E-GraphSAGE and E-ResGAT Algorithms Liyan Chang Paula Branco 30 37 0 26 Nov 2021
Vulcan: Solving the Steiner Tree Problem with Graph Neural Networks and Deep Reinforcement Learning Haizhou Du Zong Yan Qiao Xiang Qinqing Zhan GNN 30 6 0 21 Nov 2021
Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming Yizhen Zheng Ming Jin Shirui Pan Yuan-Fang Li Hao Peng Ming Li Zhao‐Rui Li SSL 33 24 0 20 Nov 2021
Directional Message Passing on Molecular Graphs via Synthetic Coordinates Johannes Klicpera Chandan Yeshwanth Stephan Günnemann 42 35 0 08 Nov 2021
Adversarial Attacks on Graph Classification via Bayesian Optimisation Xingchen Wan Henry Kenlay Binxin Ru Arno Blaas Michael A. Osborne Xiaowen Dong AAML 32 12 0 04 Nov 2021
Nested Graph Neural Networks Muhan Zhang Pan Li 27 164 0 25 Oct 2021
An In-depth Summary of Recent Artificial Intelligence Applications in Drug Design Yi Zhang AI4CE 43 5 0 10 Oct 2021
Learning 3D Representations of Molecular Chirality with Invariance to Bond Rotations Keir Adams L. Pattanaik Connor W. Coley 31 32 0 08 Oct 2021
New Insights into Graph Convolutional Networks using Neural Tangent Kernels Mahalakshmi Sabanayagam P. Esser D. Ghoshdastidar 26 6 0 08 Oct 2021
MSHCNet: Multi-Stream Hybridized Convolutional Networks with Mixed Statistics in Euclidean/Non-Euclidean Spaces and Its Application to Hyperspectral Image Classification Shuang He Haitong Tang Xia Lu Hongjie Yan Ni-zhuan Wang 42 2 0 07 Oct 2021
Guidelines for the Computational Testing of Machine Learning approaches to Vehicle Routing Problems L. Accorsi Andrea Lodi D. Vigo 15 28 0 28 Sep 2021
Network representation learning systematic review: ancestors and current development state Amina Amara Mohamed Ali Hadj Taieb M. Benaouicha AI4TS GNN 25 23 0 14 Sep 2021
Multiscale Spatio-Temporal Graph Neural Networks for 3D Skeleton-Based Motion Prediction Maosen Li Siheng Chen Yangheng Zhao Ya Zhang Yanfeng Wang Qi Tian 3DH 23 74 0 25 Aug 2021
Train on Small, Play the Large: Scaling Up Board Games with AlphaZero and GNN Shai Ben-Assayag Ran El-Yaniv GNN 33 9 0 18 Jul 2021
An Overview and Experimental Study of Learning-based Optimization Algorithms for Vehicle Routing Problem Bingjie Li Guohua Wu Yongming He Mingfeng Fan Witold Pedrycz 64 67 0 15 Jul 2021
DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data Dongqi Fu Jingrui He 24 28 0 05 Jul 2021
Online Multi-Agent Forecasting with Interpretable Collaborative Graph Neural Network Maosen Li Siheng Chen Yanning Shen Ge Liu Ivor W. Tsang Ya Zhang 22 42 0 02 Jul 2021