KDD - arXivDaily 期刊&会议

1907.00157 2021-04-13 cs.LG cs.CL cs.CV cs.IR

Progressive Fashion Attribute Extraction

Sandeep Singh Adhikari, Sukhneer Singh, Anoop Rajagopal, Aruna Rajan

Comments 6 pages, 6 figures, AI for fashion : KDD 2019 Workshop, August 2019, Anchorage, Alaska - USA

2008.09858 2021-04-12 stat.ME cs.AI cs.LG

Hi-CI: Deep Causal Inference in High Dimensions

Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff

Comments 23 pages, 5 figures, Accepted in Causal Discovery Workshop - KDD 2020

2104.00941 2021-04-05 cs.LG

Multi-Class Data Description for Out-of-distribution Detection

Dongha Lee, Sehun Yu, Hwanjo Yu

Comments 9 pages, 7 figures, published in SIGKDD 20

Journal ref In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (pp. 1362-1370) 2020

2104.00055 2021-04-02 cs.LG

SST-GNN: Simplified Spatio-temporal Traffic forecasting model using Graph Neural Network

Amit Roy, Kashob Kumar Roy, Amin Ahsan Ali, M Ashraful Amin, A K M Mahbubur Rahman

Comments Accepted for publication in 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2021)

2103.11800 2021-03-23 cs.CL cs.SI

AngryBERT: Joint Learning Target and Emotion for Hate Speech Detection

Md Rabiul Awal, Rui Cao, Roy Ka-Wei Lee, Sandra Mitrovic

Comments Paper Accepted for 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining

2103.08115 2021-03-16 cs.AI cs.DB cs.IR

Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts

Junheng Hao, Muhao Chen, Wenchao Yu, Yizhou Sun, Wei Wang

Comments KDD-19

2103.05923 2021-03-11 cs.IR cs.AI

Improving Sequential Recommendation with Attribute-augmented Graph Neural Networks

Xinzhou Dong, Beihong Jin, Wei Zhuo, Beibei Li, Taofeng Xue

Journal ref The 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2021), May 11-14, 2021, Delhi, India

1912.11761 2021-03-11 q-fin.ST cs.LG

Alpha Discovery Neural Network based on Prior Knowledge

Jie Fang, Shutao Xia, Jianwu Lin, Zhikang Xia, Xiang Liu, Yong Jiang

Comments Accepted by KDD-2020-ML in Finance, 8 pages. KDD 2020 Workshop on Machine Learning in Finance. https://sites.google.com/view/kdd-mlf-2020/home

Journal ref KDD 2020 Workshop on Machine Learning in Finance

2103.00165 2021-03-08 cs.AI

Lifelong Learning based Disease Diagnosis on Clinical Notes

Zifeng Wang, Yifan Yang, Rui Wen, Xi Chen, Shao-Lun Huang, Yefeng Zheng

Comments Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'21)

2102.13234 2021-03-01 cs.LG

Learning Discriminative Features using Multi-label Dual Space

Ali Braytee, Wei Liu

Comments 12 pages

Journal ref Proceedings of the 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2021)

1911.04180 2021-03-01 cs.CV cs.AI cs.LG math.DG stat.ML

Compositional Hierarchical Tensor Factorization: Representing Hierarchical Intrinsic and Extrinsic Causal Factors

M. Alex O. Vasilescu, Eric Kim

Comments VERS 2: Fixed out of sync ref. Added [7,14,15,28,37,50,52,53,61,77,78] M.A.O. Vasilescu and E.Kim. Compositional Hierarchical Tensor Factorization: Representing Hierarchical Intrinsic and Extrinsic Causal Factors. In 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'19): Tensor Methods for Emerging Data Science Challenges, August 04-08, 2019, Anchorage, AK.ACM, New York, NY

Journal ref 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'19): Tensor Methods for Emerging Data Science Challenges Workshop, August 04-08, 2019, Anchorage, AK.ACM, New York, NY

2102.12370 2021-02-25 cs.LG

HiPaR: Hierarchical Pattern-aided Regression

Luis Galárraga, Olivier Pelgrin, Alexandre Termier

Journal ref Proceedings of the 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2021)

2102.11498 2021-02-24 cs.LG cs.CR

V2W-BERT: A Framework for Effective Hierarchical Multiclass Classification of Software Vulnerabilities

Siddhartha Shankar Das, Edoardo Serra, Mahantesh Halappanavar, Alex Pothen, Ehab Al-Shaer

Comments Under submission to KDD 2021 Applied Data Science Track

2006.16926 2021-02-23 cs.CY cs.CL cs.LG

A Deep Learning Pipeline for Patient Diagnosis Prediction Using Electronic Health Records

Leopold Franz, Yash Raj Shrestha, Bibek Paudel

Journal ref BIOKDD 2020 at the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2020

2006.01060 2021-02-23 cs.DB cs.SI

SSumM: Sparse Summarization of Massive Graphs

Kyuhan Lee, Hyeonsoo Jo, Jihoon Ko, Sungsu Lim, Kijung Shin

Comments to be published in the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD '20)

2006.16309 2021-02-22 cs.LG cs.AI cs.SI stat.ML

Adversarial Learning for Debiasing Knowledge Graph Embeddings

Mario Arduini, Lorenzo Noci, Federico Pirovano, Ce Zhang, Yash Raj Shrestha, Bibek Paudel

Comments MLG 2020 at the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2020

Journal ref MLG 2020 at the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2020

2102.09283 2021-02-19 cs.IR cs.LG

Truncation-Free Matching System for Display Advertising at Alibaba

Jin Li, Jie Liu, Shangzhou Li, Yao Xu, Ran Cao, Qi Li, Biye Jiang, Guan Wang, Han Zhu, Kun Gai, Xiaoqiang Zhu

Comments 9 pages, 3 figures. Submitted to KDD 2021 Applied Data Science track

2102.08029 2021-02-17 cs.AI

Transferring Domain Knowledge with an Adviser in Continuous Tasks

Rukshan Wijesinghe, Kasun Vithanage, Dumindu Tissera, Alex Xavier, Subha Fernando, Jayathu Samarawickrama

Comments Accepted by the 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2021)

2102.06025 2021-02-12 cs.LG

Large-Scale Training System for 100-Million Classification at Alibaba

Liuyihan Song, Pan Pan, Kang Zhao, Hao Yang, Yiming Chen, Yingya Zhang, Yinghui Xu, Rong Jin

Comments Accepted by KDD 2020. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (2020)

2102.04674 2021-02-10 cs.CV

Visual Search at Alibaba

Yanhao Zhang, Pan Pan, Yun Zheng, Kang Zhao, Yingya Zhang, Xiaofeng Ren, Rong Jin

Comments accepted by KDD 2018

Journal ref KDD 2018: 993-1001

2102.04627 2021-02-10 cs.SI

SCARLET: Explainable Attention based Graph Neural Network for Fake News spreader prediction

Bhavtosh Rath, Xavier Morales, Jaideep Srivastava

Comments Accepted to the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD, 2021)

2101.10247 2021-01-26 cs.LG

Incorporating Expert Guidance in Epidemic Forecasting

Alexander Rodríguez, Bijaya Adhikari, Naren Ramakrishnan, B. Aditya Prakash

Comments Appears in SIGKDD 2020 epiDAMIK

2006.05919 2021-01-19 cs.SD cs.LG eess.AS

Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data

Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Jing Han, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Cecilia Mascolo

Comments 9 pages, 6 figures, 2 tables, Accepted for publication at KDD'20 (Health Day)

2101.05730 2021-01-15 cs.SI

Towards Understanding and Evaluating Structural Node Embeddings

Junchen Jin, Mark Heimann, Di Jin, Danai Koutra

Comments A shorter version of this paper was presented in the Mining and Learning with Graphs workshop at KDD 2020

2101.04849 2021-01-14 cs.IR cs.LG

Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation

Chen Ma, Liheng Ma, Yingxue Zhang, Ruiming Tang, Xue Liu, Mark Coates

Comments Accepted by the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2020 Research Track)

2007.12780 2021-01-07 cs.LG cs.AI cs.CY

A Canonical Architecture For Predictive Analytics on Longitudinal Patient Records

Parthasarathy Suryanarayanan, Bhavani Iyer, Prithwish Chakraborty, Bibo Hao, Italo Buleje, Piyush Madan, James Codella, Antonio Foncubierta, Divya Pathak, Sarah Miller, Amol Rajmane, Shannon Harrer, Gigi Yuan-Reed, Daby Sow

Comments Presented at DSHealth 2020 KDD Workshop on Applied Data Science for Healthcare

2012.15522 2021-01-01 cs.LG

Automatic Historical Feature Generation through Tree-based Method in Ads Prediction

Hongjian Wang, Qi Li, Lanbo Zhang, Yue Lu, Steven Yoo, Srinivas Vadrevu, Zhenhui Li

Comments 7 pages, KDD'19 AutoML Workshop

1609.02728 2020-12-25 cs.LG cs.DL cs.SI physics.soc-ph

Predicting the future relevance of research institutions - The winning solution of the KDD Cup 2016

Vlad Sandulescu, Mihai Chiru

Comments 6 pages, KDD 2016, KDD Cup 2016

Journal ref The KDD Cup Workshop at KDD 2016

1906.07668 2020-12-21 cs.CL cs.AI cs.CY cs.LG

Yoga-Veganism: Correlation Mining of Twitter Health Data

Tunazzina Islam

Comments In Proceedings of 8th KDD Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM) @KDD 2019. arXiv admin note: substantial text overlap with arXiv:1906.02132

2006.09666 2020-12-16 stat.AP math.ST stat.ME stat.TH

Causal Meta-Mediation Analysis: Inferring Dose-Response Function From Summary Statistics of Many Randomized Experiments

Zenan Wang, Xuan Yin, Tianbo Li, Liangjie Hong

Comments In Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '20), August 23-27, 2020, Virtual Event, CA, USA. ACM, New York, NY, USA, 11 pages

Journal ref Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '20), August 23-27, 2020, Virtual Event, CA, USA. ACM, New York, NY, USA, 11 pages