KDD

A Human-Grounded Evaluation of SHAP for Alert Processing

Hilde J. P. Weerts, Werner van Ipenburg, Mykola Pechenizkiy

Comments Will be published in proceedings of KDD workshop on Explainable AI 2019 (KDD-XAI)

IRNet: A General Purpose Deep Residual Regression Framework for Materials Discovery

Dipendra Jha, Logan Ward, Zijiang Yang, Christopher Wolverton, Ian Foster, Wei-keng Liao, Alok Choudhary, Ankit Agrawal

Comments 9 pages, under publication at KDD'19

Exploring difference in public perceptions on HPV vaccine between gender groups from Twitter using deep learning

Jingcheng Du, Chongliang Luo, Qiang Wei, Yong Chen, Cui Tao

Comments This manuscript has been accepted by 2019 KDD Workshop on Applied Data Science for Healthcare

$c^+$GAN: Complementary Fashion Item Recommendation

Sudhir Kumar, Mithun Das Gupta

Comments KDD'19: Workshop on AI for Fashion. arXiv admin note: text overlap with arXiv:1806.08977, arXiv:1411.1784, arXiv:1609.04802 by other authors

Fashion Retail: Forecasting Demand for New Items

Pawan Kumar Singh, Yadunath Gupta, Nilpa Jha, Aruna Rajan

Comments KDD - AI4Fashion Workshop

Teaching DNNs to design fast fashion

Abhinav Ravi, Arun Patro, Vikram Garg, Anoop Kolar Rajagopal, Aruna Rajan, Rajdeep Hazra Banerjee

Comments 8 pages, 9 figures, KDD conference

Semantic Product Search

Priyanka Nigam, Yiwei Song, Vijai Mohan, Vihan Lakshman, Weitian, Ding, Ankit Shingavi, Choon Hui Teo, Hao Gu, Bing Yin

Comments 10 pages, 7 figures, KDD 2019 (Applied Data Science Track)

Adversarially Trained Deep Neural Semantic Hashing Scheme for Subjective Search in Fashion Inventory

Saket Singh, Debdoot Sheet, Mithun Dasgupta

Comments The paper comprises of 8 Pages that contain 9 figures and 3 tables to support the work. The paper got accepted in the ACM's 25th KDD conference's workshop titled AI for fashion

Certifiable Robustness and Robust Training for Graph Convolutional Networks

Daniel Zügner, Stephan Günnemann

Comments Published as a Conference Paper at ACM SIGKDD 2019

SurfCon: Synonym Discovery on Privacy-Aware Clinical Data

Zhen Wang, Xiang Yue, Soheil Moosavinasab, Yungui Huang, Simon Lin, Huan Sun

Comments KDD 2019 (Accepted for Oral Presentation at the Research track)

Hierarchical Gating Networks for Sequential Recommendation

Chen Ma, Peng Kang, Xue Liu

Comments Accepted by the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019 Research Track), code available:https://github.com/allenjack/HGN

Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information

Maya Okawa, Tomoharu Iwata, Takeshi Kurashima, Yusuke Tanaka, Hiroyuki Toda, Naonori Ueda

Comments KDD 19

Understanding Filter Bubbles and Polarization in Social Networks

Uthsav Chitra, Christopher Musco

Comments Accepted to KDD WISDOM19 workshop

Agriculture Commodity Arrival Prediction using Remote Sensing Data: Insights and Beyond

Gautam Prasad, Upendra Reddy Vuyyuru, Mithun Das Gupta

Comments KDD'18 Fragile Earth Workshop (FEED)

Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer Satisfaction

Wenyi Xiao, Huan Zhao, Haojie Pan, Yangqiu Song, Vincent W. Zheng, Qiang Yang

Comments Accepted by SIGKDD 2019

Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks

Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos

Comments KDD 2019 Research Track. 11 pages. Changelog: Type 3 font removed, and minor updates made in the Appendix (v2)

Real-time Attention Based Look-alike Model for Recommender System

Yudan Liu, Kaikai Ge, Xu Zhang, Leyu Lin

Comments Accepted by KDD 2019

EdMot: An Edge Enhancement Approach for Motif-aware Community Detection

Pei-Zhen Li, Ling Huang, Chang-Dong Wang, Jian-Huang Lai

Comments 9 pages, 4 figures, Accepted by KDD 19

Time-Series Anomaly Detection Service at Microsoft

Hansheng Ren, Bixiong Xu, Yujing Wang, Chao Yi, Congrui Huang, Xiaoyu Kou, Tony Xing, Mao Yang, Jie Tong, Qi Zhang

Comments KDD 2019

KGAT: Knowledge Graph Attention Network for Recommendation

Xiang Wang, Xiangnan He, Yixin Cao, Meng Liu, Tat-Seng Chua

Comments KDD 2019 research track

Multi-Round Influence Maximization

Lichao Sun, Weiran Huang, Philip S. Yu, Wei Chen

Comments Conference version accepted by KDD-18

Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement

Ming Lin, Xiaomin Song, Qi Qian, Hao Li, Liang Sun, Shenghuo Zhu, Rong Jin

Comments accepted by SIGKDD 2019

Grade prediction with course and student specific models

Agoritsa Polyzou, George Karypis

Comments 12 pages, 3 figures, 20th Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2016

Journal ref 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining(pp. 89-101). Springer, Cham, 2016

Sequential Scenario-Specific Meta Learner for Online Recommendation

Zhengxiao Du, Xiaowei Wang, Hongxia Yang, Jingren Zhou, Jie Tang

Comments Accepted to KDD 2019

Characterizing and Forecasting User Engagement with In-app Action Graph: A Case Study of Snapchat

Yozen Liu, Xiaolin Shi, Lucas Pierce, Xiang Ren

Comments 9 pages. Accepted to KDD 2019 Research Track

Axiomatic Interpretability for Multiclass Additive Models

Xuezhou Zhang, Sarah Tan, Paul Koch, Yin Lou, Urszula Chajewska, Rich Caruana

Comments KDD 2019

Topic-Enhanced Memory Networks for Personalised Point-of-Interest Recommendation

Xiao Zhou, Cecilia Mascolo, Zhongxiang Zhao

Comments 11 pages, 6 figures, The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '19)

Clustering without Over-Representation

Sara Ahmadian, Alessandro Epasto, Ravi Kumar, Mohammad Mahdian

Comments 10 pages, 6 figures, in KDD 2019

Journal ref in Proceedings of The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2019

Infusing domain knowledge in AI-based "black box" models for better explainability with application in bankruptcy prediction

Sheikh Rabiul Islam, William Eberle, Sid Bundy, Sheikh Khaled Ghafoor

Comments Under review in KDD, 2019 : 2nd KDD Workshop on Anomaly Detection in Finance

Exploiting Cognitive Structure for Adaptive Learning

Qi Liu, Shiwei Tong, Chuanren Liu, Hongke Zhao, Enhong Chen, Haiping Ma, Shijin Wang

Comments Accepted by KDD 2019 Research Track. In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD'19)