KDD

Preventing Catastrophic Forgetting in Continual Learning of New Natural Language Tasks

Sudipta Kar, Giuseppe Castellucci, Simone Filice, Shervin Malmasi, Oleg Rokhlenko

Comments KDD 2022

ZhichunRoad at Amazon KDD Cup 2022: MultiTask Pre-Training for E-Commerce Product Search

Xuange Cui, Wei Xiong, Songlin Wang

Comments KDD Cup Workshop @ KDD 2022

Debiasing the Cloze Task in Sequential Recommendation with Bidirectional Transformers

Khalil Damak, Sami Khenissi, Olfa Nasraoui

Comments 10 pages, 3 figures, Accepted at KDD '22

Journal ref Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '22), August 14-18, 2022, Washington, DC, USA

CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation

Yunshan Ma, Yingzhi He, An Zhang, Xiang Wang, Tat-Seng Chua

Comments 9 pages, 5 figures, 5 tables; this the 3rd version that fixes a typo in table 1

Journal ref KDD 2022

A Nearly-Linear Time Algorithm for Minimizing Risk of Conflict in Social Networks

Liwang Zhu, Zhongzhi Zhang

Journal ref Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2022, pp.2648-2656

Text Style Transfer: A Review and Experimental Evaluation

Zhiqiang Hu, Roy Ka-Wei Lee, Charu C. Aggarwal, Aston Zhang

Comments We fixed the issue that the references are not associated with any [number] in the bibliography section

Journal ref KDD Explorations 24 (2022) 14-45

ERNet: Unsupervised Collective Extraction and Registration in Neuroimaging Data

Yao Su, Zhentian Qian, Lifang He, Xiangnan Kong

Comments Published as a research track paper at KDD 2022. Code: https://github.com/ERNetERNet/ERNet

Modeling Network-level Traffic Flow Transitions on Sparse Data

Xiaoliang Lei, Hao Mei, Bin Shi, Hua Wei

Comments 9 pages + 3 pages appendix. Accepted by SIGKDD 2022

Data Augmentation for Deep Graph Learning: A Survey

Kaize Ding, Zhe Xu, Hanghang Tong, Huan Liu

Comments Accepted by SIGKDD Explorations Paper list: https://github.com/kaize0409/awesome-graph-data-augmentaion

Subset Node Anomaly Tracking over Large Dynamic Graphs

Xingzhi Guo, Baojian Zhou, Steven Skiena

Comments 9 pages + 2 pages supplement, accepted to 2022 ACM SIGKDD Research Track - fixed one notation typo

On Graph Neural Network Fairness in the Presence of Heterophilous Neighborhoods

Donald Loveland, Jiong Zhu, Mark Heimann, Ben Fish, Michael T. Schaub, Danai Koutra

Comments 6 pages, KDD 2022 DLG Workshop

Graph Neural Networks for Multimodal Single-Cell Data Integration

Hongzhi Wen, Jiayuan Ding, Wei Jin, Yiqi Wang, Yuying Xie, Jiliang Tang

Comments Accepted by KDD 2022 Applied Data Science Track

Did your child get disturbed by an inappropriate advertisement on YouTube?

Jeffrey Liu, Rajat Tandon, Uma Durairaj, Jiani Guo, Spencer Zahabizadeh, Sanjana Ilango, Jeremy Tang, Neelesh Gupta, Zoe Zhou, Jelena Mirkovic

Comments In Proceedings of KDD Undergraduate Consortium (KDD-UC 2022)

AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba

Ningyu Zhang, Qianghuai Jia, Shumin Deng, Xiang Chen, Hongbin Ye, Hui Chen, Huaixiao Tou, Gang Huang, Zhao Wang, Nengwei Hua, Huajun Chen

Comments Accepted by KDD 2021 (Applied Data Science Track)

M$^3$Care: Learning with Missing Modalities in Multimodal Healthcare Data

Chaohe Zhang, Xu Chu, Liantao Ma, Yinghao Zhu, Yasha Wang, Jiangtao Wang, Junfeng Zhao

Comments 9 pages

Journal ref KDD 2022

Knowledge-Guided Exploration in Deep Reinforcement Learning

Sahisnu Mazumder, Bing Liu, Shuai Wang, Yingxuan Zhu, Xiaotian Yin, Lifeng Liu, Jian Li

Comments This paper is an extended and revised version of the work: "Action permissibility in deep reinforcement learning and application to autonomous driving", KDD'18 Deep Learning Day (2018)

FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients

Zaixi Zhang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong

Comments Accepted by KDD 2022 (Research Track)

IntTower: the Next Generation of Two-Tower Model for Pre-Ranking System

Xiangyang Li, Bo Chen, HuiFeng Guo, Jingjie Li, Chenxu Zhu, Xiang Long, Sujian Li, Yichao Wang, Wei Guo, Longxia Mao, Jinxing Liu, Zhenhua Dong, Ruiming Tang

Comments Accept by CIKM 2022 & DLP-KDD best paper

Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications

Xingbo Fu, Binchi Zhang, Yushun Dong, Chen Chen, Jundong Li

Comments Accepted by SIGKDD Explorations

CLARE: A Semi-supervised Community Detection Algorithm

Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Caihua Shan, Yiheng Sun, Yangyong Zhu, Philip S. Yu

Comments Accepted by KDD'2022

Flattened Graph Convolutional Networks For Recommendation

Yue Xu, Hao Chen, Zengde Deng, Yuanchen Bei, Feiran Huang

Comments arXiv admin note: text overlap with arXiv:2006.04164

Journal ref DLP-KDD 2022

Predicting Bearings' Degradation Stages for Predictive Maintenance in the Pharmaceutical Industry

Dovile Juodelyte, Veronika Cheplygina, Therese Graversen, Philippe Bonnet

Comments Submitted to the KDD Applied Data Science track

JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks

Jian Kang, Qinghai Zhou, Hanghang Tong

Comments Accepted to KDD'22

Local Evaluation of Time Series Anomaly Detection Algorithms

Alexis Huet, Jose Manuel Navarro, Dario Rossi

Comments Accepted by KDD 2022 Research Track

Journal ref Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, August 2022, Pages 635-645

HYCEDIS: HYbrid Confidence Engine for Deep Document Intelligence System

Bao-Sinh Nguyen, Quang-Bach Tran, Tuan-Anh Nguyen Dang, Duc Nguyen, Hung Le

Comments Document Intelligence @ KDD 2021 Workshop

Multi-Objective Personalized Product Retrieval in Taobao Search

Yukun Zheng, Jiang Bian, Guanghao Meng, Chao Zhang, Honggang Wang, Zhixuan Zhang, Sen Li, Tao Zhuang, Qingwen Liu, Xiaoyi Zeng

Comments 9 pages, 4 figures, submitted to the 28th ACM SIGKDD Conference on Knowledge Discovery & Data Mining

How Do Data Science Workers Communicate Intermediate Results?

Rock Yuren Pang, Ruotong Wang, Joely Nelson, Leilani Battle

Comments This paper was accepted for presentation as part of the eighth Symposium on Visualization in Data Science (VDS) at ACM KDD 2022 as well as IEEE VIS 2022. http://www.visualdatascience.org/2022/index.html

Graph Structural Attack by Perturbing Spectral Distance

Lu Lin, Ethan Blaser, Hongning Wang

Comments Proceedings of the 28th ACM SIGKDD international conference on knowledge discovery & data mining (KDD'22)

OAG-BERT: Towards A Unified Backbone Language Model For Academic Knowledge Services

Xiao Liu, Da Yin, Jingnan Zheng, Xingjian Zhang, Peng Zhang, Hongxia Yang, Yuxiao Dong, Jie Tang

Comments Accepted to KDD 2022

Journal ref In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022). Association for Computing Machinery, New York, NY, USA, 3418-3428

B2B Advertising: Joint Dynamic Scoring of Account and Users

Atanu R. Sinha, Gautam Choudhary, Mansi Agarwal, Shivansh Bindal, Abhishek Pande, Camille Girabawe

Comments Published at KDD Workshop: AdKDD 2022