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
Heterophily-informed Message Passing Haishan Wang Arno Solin Vikas K. Garg 27 0 0 28 Apr 2025
On the Role of Pre-trained Embeddings in Binary Code Analysis Alwin Maier Felix Weissberg Konrad Rieck 43 0 0 12 Feb 2025
BinEnhance: An Enhancement Framework Based on External Environment Semantics for Binary Code Search Yongpan Wang Hong Li Xiaojie Zhu Siyuan Li Chaopeng Dong Shouguo Yang Kangyuan Qin 35 1 0 02 Nov 2024
BinSimDB: Benchmark Dataset Construction for Fine-Grained Binary Code Similarity Analysis Fei Zuo Cody Tompkins Qiang Zeng Lannan Luo Yung Ryn Choe Junghwan Rhee 23 0 0 14 Oct 2024
DrugCLIP: Contrastive Drug-Disease Interaction For Drug Repurposing Yingzhou Lu Yaojun Hu Chenhao Li VLM 43 9 0 02 Jul 2024
Knowledge-Aware Parsimony Learning: A Perspective from Relational Graphs Quanming Yao Yongqi Zhang Yaqing Wang Nan Yin James Kwok Qiang Yang 34 0 0 29 Jun 2024
A Benchmark Study of Deep-RL Methods for Maximum Coverage Problems over Graphs Zhicheng Liang Yifan Yang Xiangyu Ke Xiaokui Xiao Yunjun Gao 38 0 0 20 Jun 2024
Molecule Graph Networks with Many-body Equivariant Interactions Zetian Mao Jiawen Li Chen Liang Diptesh Das Masato Sumita Koji Tsuda Kelin Xia Koji Tsuda 40 1 0 19 Jun 2024
A Unified Framework for Combinatorial Optimization Based on Graph Neural Networks Yaochu Jin Xueming Yan Shiqing Liu Xiangyu Wang 51 3 0 19 Jun 2024
Learning Solution-Aware Transformers for Efficiently Solving Quadratic Assignment Problem Zhentao Tan Yadong Mu 25 3 0 14 Jun 2024
SPGNN: Recognizing Salient Subgraph Patterns via Enhanced Graph Convolution and Pooling Zehao Dong Muhan Zhang Yixin Chen 51 0 0 21 Apr 2024
RandAlign: A Parameter-Free Method for Regularizing Graph Convolutional Networks Haimin Zhang Min Xu 47 2 0 15 Apr 2024
Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective Victor-Alexandru Darvariu Stephen Hailes Mirco Musolesi AI4CE 50 6 0 09 Apr 2024
Molecular Generative Adversarial Network with Multi-Property Optimization Huidong Tang Chen Li Sayaka Kamei Yoshihiro Yamanishi Yasuhiko Morimoto 45 0 0 29 Mar 2024
Neural Markov Random Field for Stereo Matching Tongfan Guan Chen Wang Yunchun Liu 3DV 21 22 0 17 Mar 2024
An Efficient Learning-based Solver Comparable to Metaheuristics for the Capacitated Arc Routing Problem Runze Guo Feng Xue Anlong Ming N. Sebe 44 0 0 11 Mar 2024
CEBin: A Cost-Effective Framework for Large-Scale Binary Code Similarity Detection Hao Wang Zeyu Gao Chao Zhang Mingyang Sun Yuchen Zhou Han Qiu Xiangwei Xiao 39 9 0 29 Feb 2024
MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization Nguyen H K. Do Tanmoy Chowdhury Chen Ling Liang Zhao My T. Thai 45 2 0 24 Feb 2024
Generalization Error of Graph Neural Networks in the Mean-field Regime Gholamali Aminian Yixuan He Gesine Reinert Lukasz Szpruch Samuel N. Cohen 48 3 0 10 Feb 2024
PAC-Bayesian Adversarially Robust Generalization Bounds for Graph Neural Network Tan Sun Junhong Lin AAML 32 2 0 06 Feb 2024
Cross-Inlining Binary Function Similarity Detection Ang Jia Ming Fan Xi Xu Wuxia Jin Haijun Wang Ting Liu 25 4 0 11 Jan 2024
Use of Graph Neural Networks in Aiding Defensive Cyber Operations Shaswata Mitra Trisha Chakraborty Subash Neupane Aritran Piplai Sudip Mittal AAML 45 3 0 11 Jan 2024
COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems Hao Tian Sourav Medya Wei Ye 35 4 0 14 Dec 2023
Enhancing Molecular Property Prediction via Mixture of Collaborative Experts Xu Yao Shuang Liang Songqiao Han Hailiang Huang 29 4 0 06 Dec 2023
Machine learning-based malware detection for IoT devices using control-flow data Gergely Hevesi 19 0 0 20 Nov 2023
Graph Attention-based Deep Reinforcement Learning for solving the Chinese Postman Problem with Load-dependent costs Cong Dao Tran Truong-Son Hy 26 0 0 24 Oct 2023
Model Inversion Attacks on Homogeneous and Heterogeneous Graph Neural Networks Renyang Liu Wei Zhou Jinhong Zhang Xiaoyuan Liu Peiyuan Si Haoran Li AAML 22 0 0 15 Oct 2023
Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction Guangji Bai Ziyang Yu Zheng Chai Yue Cheng Liang Zhao GNN 19 3 0 25 Aug 2023
Contrastive Learning for Non-Local Graphs with Multi-Resolution Structural Views Asif Khan Amos Storkey 24 1 0 19 Aug 2023
Factor Graph Neural Networks Zhen Zhang Mohammed Haroon Dupty Fan Wu Javen Qinfeng Shi Fan Wu AI4CE 32 40 0 02 Aug 2023
Union Subgraph Neural Networks Jiaxing Xu Aihu Zhang Qingtian Bian Vijay Prakash Dwivedi Yiping Ke GNN 27 6 0 25 May 2023
Assessment of Reinforcement Learning Algorithms for Nuclear Power Plant Fuel Optimization Paul Seurin K. Shirvan 29 8 0 09 May 2023
Materials Informatics: An Algorithmic Design Rule B. Bishnoi 14 0 0 05 May 2023
Zoo Guide to Network Embedding Anthony Baptista Rubén J. Sánchez-García A. Baudot Ginestra Bianconi GNN 13 6 0 05 May 2023
Improving Graph Neural Networks on Multi-node Tasks with the Labeling Trick Xiyuan Wang Pan Li Muhan Zhang AI4CE 36 4 0 20 Apr 2023
A Survey on Malware Detection with Graph Representation Learning Tristan Bilot Nour El Madhoun Khaldoun Al Agha Anis Zouaoui AAML 13 20 0 28 Mar 2023
LON-GNN: Spectral GNNs with Learnable Orthonormal Basis Qian Tao Zhen Wang Wenyuan Yu Yaliang Li Zhewei Wei 33 5 0 24 Mar 2023
Adversarial Attacks against Binary Similarity Systems Gianluca Capozzi Daniele Cono DÉlia Giuseppe Antonio Di Luna Leonardo Querzoni AAML 32 0 0 20 Mar 2023
DuEqNet: Dual-Equivariance Network in Outdoor 3D Object Detection for Autonomous Driving Xihao Wang Jiaming Lei Hai Lan Arafat Al-Jawari Xian Wei 3DPC 16 6 0 27 Feb 2023
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion Haotian Ju Dongyue Li Aneesh Sharma Hongyang R. Zhang 31 40 0 09 Feb 2023
Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning Chaoxi Niu Guansong Pang Ling-Hao Chen 24 9 0 31 Jan 2023
Understanding and Improving Deep Graph Neural Networks: A Probabilistic Graphical Model Perspective Jiayuan Chen Xiang Zhang Yinfei Xu Tianli Zhao Renjie Xie Wei Xu GNN BDL 23 0 0 25 Jan 2023
GIPA: A General Information Propagation Algorithm for Graph Learning Houyi Li Zhihong Chen Zhao Li Qinkai Zheng Peng Zhang Shuigeng Zhou 49 0 0 19 Jan 2023
One Bad Apple Spoils the Barrel: Understanding the Security Risks Introduced by Third-Party Components in IoT Firmware Binbin Zhao S. Ji Jiacheng Xu Yuan Tian Qiuyang Wei ... Chenyang Lyu Xuhong Zhang Changting Lin Jingzheng Wu R. Beyah 35 8 0 28 Dec 2022
EDoG: Adversarial Edge Detection For Graph Neural Networks Xiaojun Xu Yue Yu Hanzhang Wang Alok Lal C.A. Gunter Bo Li AAML 32 10 0 27 Dec 2022
Learning Feynman Diagrams using Graph Neural Networks Harrison Mitchell Alexander Norcliffe Pietro Lio GNN 23 2 0 25 Nov 2022
Semantic Learning and Emulation Based Cross-platform Binary Vulnerability Seeker Jian Gao Yu Jiang Zhe Liu Xin Yang Cong Wang Xun Jiao ZhenYu Yang Jiaguang Sun 11 18 0 10 Nov 2022
QuanGCN: Noise-Adaptive Training for Robust Quantum Graph Convolutional Networks Kaixiong Zhou Zhenyu Zhang Sheng-Wei Chen Tianlong Chen Xiao Huang Zhangyang Wang Xia Hu GNN 33 2 0 09 Nov 2022
A Survey on Influence Maximization: From an ML-Based Combinatorial Optimization Yandi Li Haobo Gao Yunxuan Gao Jianxiong Guo Weili Wu 27 38 0 06 Nov 2022
Federated Graph Representation Learning using Self-Supervision Susheel Suresh Daniel Godbout Arko Provo Mukherjee Mayank Shrivastava Jennifer Neville Pan Li OOD FedML 38 2 0 27 Oct 2022