KDD

Combining exogenous and endogenous signals with a semi-supervised co-attention network for early detection of COVID-19 fake tweets

Rachit Bansal, William Scott Paka, Nidhi, Shubhashis Sengupta, Tanmoy Chakraborty

Comments Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2021

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

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

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

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)

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

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

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

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

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)

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)

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

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)

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

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

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)

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

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

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)

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)

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

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)

Incorporating Expert Guidance in Epidemic Forecasting

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

Comments Appears in SIGKDD 2020 epiDAMIK

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)

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

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)

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

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

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

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