图机器学习近期ArXiv论文合集

没事逛一逛ArXiv，看看机器学习近期进展。

今日主题：图学习，对抗学习，推荐系统

1Graph

Spectral Convergence of Symmetrized Graph Laplacian on manifolds with boundary

• Authors：J. Wilson Peoples, John Harlim
• Link：https://arxiv.org/abs/2110.06988
• Comments: 6 figures

Scalable Graph Embedding LearningOn A Single GPU

• Authors：Azita Nouri, Philip E. Davis, Pradeep Subedi, Manish Parashar
• Link：https://arxiv.org/abs/2110.06991

SoGCN: Second-Order Graph Convolutional Networks

• Authors：Peihao Wang, Yuehao Wang, Hua Lin, Jianbo Shi
• Link：https://arxiv.org/abs/2110.07141
• Comments: 15 pages, 7 figures

Relation-aware Heterogeneous Graph for User Profiling

• Authors：Qilong Yan, Yufeng Zhang, Qiang Liu, Shu Wu, Liang Wang
• Link：https://arxiv.org/abs/2110.07181
• Comments: CIKM2021 Accepted

Why Propagate Alone? Parallel Use of Labels and Features on Graphs

• Authors：Yangkun Wang, Jiarui Jin, Weinan Zhang, Yongyi Yang, Jiuhai Chen, Quan Gan, Yong Yu, Zheng Zhang, Zengfeng Huang, David Wipf
• Link：https://arxiv.org/abs/2110.07190

ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection

• Authors：Van-Anh Nguyen, Dai Quoc Nguyen, Van Nguyen, Trung Le, Quan Hung Tran, Dinh Phung
• Link：https://arxiv.org/abs/2110.07317
• Comments: The first two authors contributed equally. The code will be available soon at: this https URL

Improved Drug-target Interaction Prediction with Intermolecular Graph Transformer

• Authors：Siyuan Liu, Yusong Wang, Tong Wang, Yifan Deng, Liang He, Bin Shao, Jian Yin, Nanning Zheng, Tie-Yan Liu
• Link：https://arxiv.org/abs/2110.07347

Asymmetric Graph Representation Learning

• Authors：Zhuo Tan, Bin Liu, Guosheng Yin
• Link：https://arxiv.org/abs/2110.07436

Finetuning Large-Scale Pre-trained Language Models for Conversational Recommendation with Knowledge Graph

• Authors：Lingzhi Wang, Huang Hu, Lei Sha, Can Xu, Kam-Fai Wong, Daxin Jiang
• Link：https://arxiv.org/abs/2110.07477

Advances in Scaling Community Discovery Methods for Large Signed Graph Networks

• Authors：Maria Tomasso, Lucas Rusnak, Jelena Tešić
• Link：https://arxiv.org/abs/2110.07514
• Comments: 35 pages, 18 figures

Connection Management xAPP for O-RAN RIC: A Graph Neural Network and Reinforcement Learning Approach

• Authors：Oner Orhan, Vasuki Narasimha Swamy, Thomas Tetzlaff, Marcel Nassar, Hosein Nikopour, Shilpa Talwar
• Link：https://arxiv.org/abs/2110.07525
• Comments: paper accepted to the IEEE International Conference on Machine Learning and Applications (ICMLA 2021)

sMGC: A Complex-Valued Graph Convolutional Network via Magnetic Laplacian for Directed Graphs

• Authors：Jie Zhang, Bo Hui, Po-Wei Harn, Min-Te Sun, Wei-Shinn Ku
• Link：https://arxiv.org/abs/2110.07570
• Comments: 9 pages, 7 figures, 5 tables

LAGr: Labeling Aligned Graphs for Improving Systematic Generalization in Semantic Parsing

• Authors：Dora Jambor, Dzmitry Bahdanau
• Link：https://arxiv.org/abs/2110.07572

Graph Condensation for Graph Neural Networks

• Authors：Wei Jin, Lingxiao Zhao, Shichang Zhang, Yozen Liu, Jiliang Tang, Neil Shah
• Link：https://arxiv.org/abs/2110.07580
• Comments: 16 pages, 4 figures

Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding

• Authors：Jingya Zhou, Ling Liu, Wenqi Wei, Jianxi Fan
• Link：https://arxiv.org/abs/2110.07582

On the Stability of Low Pass Graph Filter With a Large Number of Edge Rewires

• Authors：Hoang-Son Nguyen, Yiran He, Hoi-To Wai
• Link：https://arxiv.org/abs/2110.07234
• Comments: 5 pages, 2 figures

A Flat Wall Theorem for Matching Minors in Bipartite Graphs

• Authors：Archontia C. Giannopoulou, Sebastian Wiederrecht
• Link：https://arxiv.org/abs/2110.07553

Bipartite Matching in Nearly-linear Time on Moderately Dense Graphs

• Authors：Jan van den Brand, Yin-Tat Lee, Danupon Nanongkai, Richard Peng, Thatchaphol Saranurak, Aaron Sidford, Zhao Song, Di Wang
• Link：https://arxiv.org/abs/2009.01802

A Light Heterogeneous Graph Collaborative Filtering Model using Textual Information

• Authors：Chaoyang Wang, Zhiqiang Guo, Guohui Li, Jianjun Li, Peng Pan, Ke Liu
• Link：https://arxiv.org/abs/2010.07027
• Comments: Accepted by Knowledge-Based Systems

Isomorphism Testing for Graphs Excluding Small Topological Subgraphs

• Authors：Daniel Neuen
• Link：https://arxiv.org/abs/2011.14730
• Comments: 45 pages, 2 figures. The second version improves on the presentation of the results and corrects minor inaccuracies. An extended abstract is to be published in the proceedings of the ACM-SIAM Symposium on Discrete Algorithms (SODA 2022). arXiv admin note: text overlap with arXiv:2004.07671

SAGE: Intrusion Alert-driven Attack Graph Extractor

• Authors：Azqa Nadeem, Sicco Verwer, Shanchieh Jay Yang
• Link：https://arxiv.org/abs/2107.02783
• Comments: Appeared at VizSec '21 (proceedings) and KDD AI4Cyber '21 (without proceedings)

NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset

• Authors：Qiyuan Zhang, Lei Wang, Sicheng Yu, Shuohang Wang, Yang Wang, Jing Jiang, Ee-Peng Lim
• Link：https://arxiv.org/abs/2109.10604
• Comments: Findings of EMNLP 2021. Code will be released at: this https URL

Distribution Knowledge Embedding for Graph Pooling

• Authors：Kaixuan Chen, Jie Song, Shunyu Liu, Na Yu, Zunlei Feng, Gengshi Han, Mingli Song
• Link：https://arxiv.org/abs/2109.14333
• Comments: 8 pages, 4 figures, 4 tables

Refcat: The Internet Archive Scholar Citation Graph

• Authors：Martin Czygan, Helge Holzmann, Bryan Newbold
• Link：https://arxiv.org/abs/2110.06595

2Adversarial Learning

Brittle interpretations: The Vulnerability of TCAV and Other Concept-based Explainability Tools to Adversarial Attack

• Authors：Davis Brown, Henry Kvinge
• Link：https://arxiv.org/abs/2110.07120

Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer

• Authors：Fanchao Qi, Yangyi Chen, Xurui Zhang, Mukai Li, Zhiyuan Liu, Maosong Sun
• Link：https://arxiv.org/abs/2110.07139
• Comments: Accepted by the main conference of EMNLP 2021 as a long paper. The camera-ready version

Semantically Distributed Robust Optimization for Vision-and-Language Inference

• Authors：Tejas Gokhale, Abhishek Chaudhary, Pratyay Banerjee, Chitta Baral, Yezhou Yang
• Link：https://arxiv.org/abs/2110.07165
• Comments: preprint; code available at this https URL

Adversarial examples by perturbing high-level features in intermediate decoder layers

• Authors：Vojtěch Čermák, Lukáš Adam
• Link：https://arxiv.org/abs/2110.07182

DI-AA: An Interpretable White-box Attack for Fooling Deep Neural Networks

• Authors：Yixiang Wang, Jiqiang Liu, Xiaolin Chang, Jianhua Wang, Ricardo J. Rodríguez
• Link：https://arxiv.org/abs/2110.07305
• Comments: 9 pages, 5 figures, 7 tables

Preconditioners for robust optimal control problems under uncertainty

• Authors：Fabio Nobile, Tommaso Vanzan
• Link：https://arxiv.org/abs/2110.07362
• Comments: 30 pages, 4 figures

Scheduler-Pointed False Data Injection Attack for Event-Based Remote State Estimation

• Authors：Qiulin Xu, Junlin Xiong
• Link：https://arxiv.org/abs/2110.07378
• Comments: 10 pages, 5 figures

RGB-D Image Inpainting Using Generative Adversarial Network with a Late Fusion Approach

• Authors：Ryo Fujii, Ryo Hachiuma, Hideo Saito
• Link：https://arxiv.org/abs/2110.07413
• Comments: Accepted at AVR 2020

A Simple, Strong and Robust Baseline for Distantly Supervised Relation Extraction

• Authors：Vipul Rathore, Kartikeya Badola, Mausam, Parag Singla
• Link：https://arxiv.org/abs/2110.07415

On Adversarial Vulnerability of PHM algorithms: An Initial Study

• Authors：Weizhong Yan, Zhaoyuan Yang, Jianwei Qiu
• Link：https://arxiv.org/abs/2110.07462

Robust monolithic solvers for the Stokes-Darcy problem with the Darcy equation in primal form

• Authors：Wietse M. Boon, Timo Koch, Miroslav Kuchta, Kent-Andre Mardal
• Link：https://arxiv.org/abs/2110.07486

Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations

• Authors：Ji Xin, Chenyan Xiong, Ashwin Srinivasan, Ankita Sharma, Damien Jose, Paul N. Bennett
• Link：https://arxiv.org/abs/2110.07581

Style-based quantum generative adversarial networks for Monte Carlo events

• Authors：Carlos Bravo-Prieto, Julien Baglio, Marco Cè, Anthony Francis, Dorota M. Grabowska, Stefano Carrazza
• Link：https://arxiv.org/abs/2110.06933
• Comments: 14 pages, 10 figures, code available in this https URL

Robust MIMO Detection using Hypernetworks with Learned Regularizers

• Authors：Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady, Ashutosh Sabharwal, Santiago Segarra
• Link：https://arxiv.org/abs/2110.07053

Federated Learning for COVID-19 Detection with Generative Adversarial Networks in Edge Cloud Computing

• Authors：Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Albert Y. Zomaya
• Link：https://arxiv.org/abs/2110.07136
• Comments: Accepted at IEEE Internet of Things Journal, 14 pages

SingGAN: Generative Adversarial Network For High-Fidelity Singing Voice Generation

• Authors：Feiyang Chen, Rongjie Huang, Chenye Cui, Yi Ren, Jinglin Liu, Zhou Zhao, Nicholas Yuan, Baoxing Huai
• Link：https://arxiv.org/abs/2110.07468
• Comments: vocoder, generative adversarial network, singing voice synthesis

A Novel Sybil Attack Detection Scheme Based on Edge Computing for Mobile IoT Environment

• Authors：Manli Yuan, Liwei Lin, Zhengyu Wu, Xiucai Ye
• Link：https://arxiv.org/abs/1911.03129
• Comments: 14 pages, 9 figures

Adversarial Robustness of Deep Sensor Fusion Models

• Authors：Shaojie Wang, Tong Wu, Ayan Chakrabarti, Yevgeniy Vorobeychik
• Link：https://arxiv.org/abs/2006.13192

Adaptive Robust Model Predictive Control with Matched and Unmatched Uncertainty

• Authors：Rohan Sinha, James Harrison, Spencer M. Richards, Marco Pavone
• Link：https://arxiv.org/abs/2104.08261
• Comments: Major revision

SAGE: Intrusion Alert-driven Attack Graph Extractor

• Authors：Azqa Nadeem, Sicco Verwer, Shanchieh Jay Yang
• Link：https://arxiv.org/abs/2107.02783
• Comments: Appeared at VizSec '21 (proceedings) and KDD AI4Cyber '21 (without proceedings)

Breaking BERT: Understanding its Vulnerabilities for Biomedical Named Entity Recognition through Adversarial Attack

• Authors：Anne Dirkson, Suzan Verberne, Wessel Kraaij
• Link：https://arxiv.org/abs/2109.11308

AES Systems Are Both Overstable And Oversensitive: Explaining Why And Proposing Defenses

• Authors：Yaman Kumar Singla, Swapnil Parekh, Somesh Singh, Junyi Jessy Li, Rajiv Ratn Shah, Changyou Chen
• Link：https://arxiv.org/abs/2109.11728
• Comments: arXiv admin note: text overlap with arXiv:2012.13872

Reactive Locomotion Decision-Making and Robust Motion Planning for Real-Time Perturbation Recovery

• Authors：Zhaoyuan Gu, Nathan Boyd, Ye Zhao
• Link：https://arxiv.org/abs/2110.03037

Adversarial Unlearning of Backdoors via Implicit Hypergradient

• Authors：Yi Zeng, Si Chen, Won Park, Z. Morley Mao, Ming Jin, Ruoxi Jia
• Link：https://arxiv.org/abs/2110.03735
• Comments: 9 pages main text, 3 pages references, 12 pages appendix, 5 figures

Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks

• Authors：Hanxun Huang, Yisen Wang, Sarah Monazam Erfani, Quanquan Gu, James Bailey, Xingjun Ma
• Link：https://arxiv.org/abs/2110.03825
• Comments: NeurIPS 2021

3Recommendation

Readability and Understandability of Snippets Recommended by General-purpose Web Search Engines: a Comparative Study

• Authors：Carlos Eduardo C. Dantas, Marcelo A. Maia
• Link：https://arxiv.org/abs/2110.07087
• Comments: 5 pages, 5 figures

Finetuning Large-Scale Pre-trained Language Models for Conversational Recommendation with Knowledge Graph

• Authors：Lingzhi Wang, Huang Hu, Lei Sha, Can Xu, Kam-Fai Wong, Daxin Jiang
• Link：https://arxiv.org/abs/2110.07477

LT4REC:A Lottery Ticket Hypothesis Based Multi-task Practice for Video Recommendation System

• Authors：Xuanji Xiao, Huabin Chen, Yuzhen Liu, Xing Yao, Pei Liu, Chaosheng Fan, Nian Ji, Xirong Jiang
• Link：https://arxiv.org/abs/2008.09872
• Comments: 6 pages,4 figures

Recommending POIs for Tourists by User Behavior Modeling and Pseudo-Rating

• Authors：Kun Yi, Ryu Yamagishi, Taishan Li, Zhengyang Bai, Qiang Ma
• Link：https://arxiv.org/abs/2110.06523
• Comments: 16 pages, 10 figures