KDD

Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling

Chuizheng Meng, Sirisha Rambhatla, Yan Liu

Comments To be published in the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 21)

Scaling Up Graph Neural Networks Via Graph Coarsening

Zengfeng Huang, Shengzhong Zhang, Chong Xi, Tang Liu, Min Zhou

Comments KDD 2021

Deep Clustering based Fair Outlier Detection

Hanyu Song, Peizhao Li, Hongfu Liu

Comments To appear in KDD'2021

PAM: Understanding Product Images in Cross Product Category Attribute Extraction

Rongmei Lin, Xiang He, Jie Feng, Nasser Zalmout, Yan Liang, Li Xiong, Xin Luna Dong

Comments KDD 2021

Dimensionwise Separable 2-D Graph Convolution for Unsupervised and Semi-Supervised Learning on Graphs

Qimai Li, Xiaotong Zhang, Han Liu, Quanyu Dai, Xiao-Ming Wu

Comments Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '21)

A Deep Value-network Based Approach for Multi-Driver Order Dispatching

Xiaocheng Tang, Zhiwei Qin, Fan Zhang, Zhaodong Wang, Zhe Xu, Yintai Ma, Hongtu Zhu, Jieping Ye

Comments KDD 2019 Oral

Dual Graph enhanced Embedding Neural Network for CTR Prediction

Wei Guo, Rong Su, Renhao Tan, Huifeng Guo, Yingxue Zhang, Zhirong Liu, Ruiming Tang, Xiuqiang He

Comments KDD 2021

A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps

Léa Briand, Guillaume Salha-Galvan, Walid Bendada, Mathieu Morlon, Viet-Anh Tran

Comments 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021)

Diversity driven Query Rewriting in Search Advertising

Akash Kumar Mohankumar, Nikit Begwani, Amit Singh

Comments Accepted in KDD 2021, 9 pages

SizeFlags: Reducing Size and Fit Related Returns in Fashion E-Commerce

Andrea Nestler, Nour Karessli, Karl Hajjar, Rodrigo Weffer, Reza Shirvany

Comments Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Local Algorithms for Estimating Effective Resistance

Pan Peng, Daniel Lopatta, Yuichi Yoshida, Gramoz Goranci

Comments KDD 2021

Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation

Sanshi Yu, Zhuoxuan Jiang, Dong-Dong Chen, Shanshan Feng, Dongsheng Li, Qi Liu, Jinfeng Yi

Comments To appear in KDD'21 ADS

DMBGN: Deep Multi-Behavior Graph Networks for Voucher Redemption Rate Prediction

Fengtong Xiao, Lin Li, Weinan Xu, Jingyu Zhao, Xiaofeng Yang, Jun Lang, Hao Wang

Comments 9 pages, 5 figures, accepted full paper SIGKDD'21 applied data science track

A Pre-training Oracle for Predicting Distances in Social Networks

Gunjan Mahindre, Randy Paffenroth, Anura Jayasumana, Rasika Karkare

Comments KDD conference 2021

On Training Sample Memorization: Lessons from Benchmarking Generative Modeling with a Large-scale Competition

Ching-Yuan Bai, Hsuan-Tien Lin, Colin Raffel, Wendy Chih-wen Kan

Comments In Proceedings of the 27th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), August 2021

PID-GAN: A GAN Framework based on a Physics-informed Discriminator for Uncertainty Quantification with Physics

Arka Daw, M. Maruf, Anuj Karpatne

Comments 11 pages, 11 figures, 2 tables, Published at KDD 2021

Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data

Zhixuan Chu, Stephen L. Rathbun, Sheng Li

Comments Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '21), August 14--18, 2021, Virtual Event, Singapore

ImGAGN:Imbalanced Network Embedding via Generative Adversarial Graph Networks

Liang Qu, Huaisheng Zhu, Ruiqi Zheng, Yuhui Shi, Hongzhi Yin

Comments to be published in KDD'2021

Faster and Generalized Temporal Triangle Counting, via Degeneracy Ordering

Noujan Pashanasangi, C. Seshadhri

Comments To be published in KDD 2021

NewsEmbed: Modeling News through Pre-trained Document Representations

Jialu Liu, Tianqi Liu, Cong Yu

Comments Accepted in SIGKDD 2021

Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes

Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Hiroyuki Toda, Takeshi Kurashima, Hisashi Kashima

Comments 11 pages, Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '21)

Robust Learning by Self-Transition for Handling Noisy Labels

Hwanjun Song, Minseok Kim, Dongmin Park, Yooju Shin, Jae-Gil Lee

Comments Accepted at KDD 2021

Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System

Tianxin Wei, Fuli Feng, Jiawei Chen, Ziwei Wu, Jinfeng Yi, Xiangnan He

Comments To Appear in SIGKDD 2021

Learning to Embed Categorical Features without Embedding Tables for Recommendation

Wang-Cheng Kang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Ting Chen, Lichan Hong, Ed H. Chi

Comments Accepted to KDD'21, Research Track

How Interpretable and Trustworthy are GAMs?

Chun-Hao Chang, Sarah Tan, Ben Lengerich, Anna Goldenberg, Rich Caruana

Comments Accepted in 2021 KDD

Learning Multiclass Classifier Under Noisy Bandit Feedback

Mudit Agarwal, Naresh Manwani

Comments 17 pages, 6 figures 1 Table

Journal ref Pacific-Asia Conference on Knowledge Discovery and Data Mining,2021

HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem

Yun Hua, Xiangfeng Wang, Bo Jin, Wenhao Li, Junchi Yan, Xiaofeng He, Hongyuan Zha

Comments 13 pages

Journal ref Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2021

Learning Elastic Embeddings for Customizing On-Device Recommenders

Tong Chen, Hongzhi Yin, Yujia Zheng, Zi Huang, Yang Wang, Meng Wang

Comments To appear in KDD'21

Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms

Xiaocheng Tang, Fan Zhang, Zhiwei Qin, Yansheng Wang, Dingyuan Shi, Bingchen Song, Yongxin Tong, Hongtu Zhu, Jieping Ye

Comments KDD 2021; Ride-hailing marketplace open simulation platform: https://outreach.didichuxing.com/Simulation/

Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems

Chang Zhou, Jianxin Ma, Jianwei Zhang, Jingren Zhou, Hongxia Yang

Comments Accepted by the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021)