Accepted Lecture-Style Tutorials

Large-Scale Information Extraction under Privacy-Aware Constraints

Authors: Rajeev Gupta (Microsoft India)*; Ranganath Kondapally (Microsoft,India)

Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection

Authors: Bingzhe Wu (Tencent AI Lab)*; Yatao Bian (Tencent AI Lab); Hengtong Zhang (Tencent); Jintang Li (Sun Yat-sen University); Junchi Yu (); Liang Chen (Sun Yat-sen University); Chaochao Chen (Zhejiang University); Junzhou Huang (Tencent AI Lab)

Graph-based Representation Learning for Web-scale Recommender Systems

Authors: Ahmed El-Kishky (Twitter)*; Michael Bronstein (Twitter); Ying Xiao (Twitter); Aria Haghighi (Twitter)

Algorithmic Fairness on Graphs: Methods and Trends

Authors: Jian Kang (University of Illinois at Urbana-Champaign)*; Hanghang Tong (University of Illinois at Urbana-Champaign)

Online clustering: algorithms, evaluation, metrics, applications and benchmarking

Authors: Jacob Montiel (University of Waikato); Hoang-Anh Ngo (Télécom Paris, Institut Polytechnique de Paris)*; Minh-Huong Le-Nguyen (Télécom Paris, Institut Polytechnique de Paris); Albert Bifet (University of Waikato)

Counterfactual Evaluation and Learning for Interactive Systems: Foundations, Implementations, and Recent Advances

Authors: Yuta Saito (Cornell University)*; Thorsten Joachims (Cornell)

Toward Graph Minimally-Supervised Learning

Authors: Kaize Ding (Arizona State University)*; Chuxu Zhang (Brandeis University); Jie Tang (Tsinghua University); Nitesh Chawla (Notre Dame); Huan Liu (Arizona State University)

Accelerated GNN training with DGL and RAPIDS cuGraph in a Fraud Detection Workflow

Authors: Brad Rees (NVIDIA)*; Xiaoyun Wang (NVIDIA); Onur Yilmaz (NVIDIA); Dominque LaSalle (NVIDIA); Joe Eaton (NVIDIA); Rick Ratzel (NVIDIA)

Advances in exploratory data analysis, visualisation and quality for data centric AI systems

Authors: Hima Patel (IBM Research)*; Shanmukh Guttula (IBM Research); Ruhi Sharma Mittal (IBM Research); Naresh Manwani (International Institute of Information Technology, Hyderabad); Laure Berti-Equille (IRD); Abhijit Manatkar (IIITH)

Shallow and Deep Non-IID Learning on Complex Data

Authors: Longbing Cao (University of Technology Sydney)*; Philip S Yu (UIC); Zhilin Zhao (University of Technology, Sydney)

New Frontiers of Scientific Text Mining: Tasks, Data, and Tools

Authors: Xuan Wang (University of Illinois at Urbana-Champaign)*; Hongwei Wang (University of Illinois Urbana-Champaign); Heng Ji (University of Illinois at Urbana-Champaign); Jiawei Han (UIUC)

Adapting Pretrained Representations for Text Mining

Authors: Yu Meng (University of Illinois at Urbana-Champaign)*; Jiaxin Huang (University of Illinois Urbana-Champaign); Yu Zhang (University of Illinois at Urbana-Champaign); Jiawei Han (UIUC)

Towards Adversarial Learning: from Evasion Attacks to Poisoning Attacks

Authors: Wentao Wang (Michigan State University)*; Han Xu (Michigan State University); Yuxuan Wan (Michigan State University); Jie Ren (Michigan State University); Jiliang Tang (Michigan State University)

Graph Neural Networks: Foundation, Frontiers and Applications

Authors: Lingfei Wu (JD.COM Silicon Valley Research Center)*; Peng Cui (Tsinghua University); Jian Pei (Simon Fraser University); Zhao Liang (Emory University); Xiaojie Guo (JD.COM Silicon Valley Research Center)

Data-Centric Epidemic Forecasting

Authors: Alexander Rodríguez (Georgia Institute of Technology)*; Harshavardhan P Kamarthi (Georgia Institute of Technology); B. Aditya Prakash (Georgia Institute of Technology)

Robust Time Series Analysis and Applications: An Industrial Perspective

Authors: Qingsong Wen (Alibaba Group U.S.)*; Linxiao Yang (Machine Intelligence Technology, Alibaba Group, Hangzhou, China); Tian Zhou (Alibaba DAMO Academy); Liang Sun (Alibaba Group)

Hyperbolic Neural Networks: Theory, Architectures and Applications

Authors: Nurendra Choudhary (Virginia Tech)*; Nikhil Rao (Amazon); Karthik Subbian (Amazon); Srinivasan Sengamedu (Amazon); Chandan K Reddy (Virginia Tech)

Modern Theoretical Tools for Designing Information Retrieval System

Authors: Da Xu (Walmart Labs)*; Chuanwei Ruan (Walmart Labs)

The Battlefront of Combating Misinformation and Coping with Media Bias

Authors: Yi R Fung (University of Illinois at Urbana-Champaign)*; Kung-Hsiang Huang (University of Illinois Urbana-Champaign); Preslav Nakov (Qatar Computing Research Institute); Heng Ji (University of Illinois at Urbana-Champaign)

Multimodal AutoML for Image, Text and Tabular Data

Authors: Nick Erickson (Amazon Web Services)*; Xingjian Shi (Amazon Web Services); Alexander Smola (Amazon)

Model Monitoring in Practice: Lessons Learned and Open Challenges

Authors: Krishnaram Kenthapadi (Fiddler AI)*; Himabindu Lakkaraju (Harvard); Pradeep Natarajan (Amazon.com Inc.); Mehrnoosh Sameki (Microsoft Azure AI)

Deep Learning for Network Traffic Data

Authors: Manish Marwah (Micro Focus)*; Martin Arlitt (Micro Focus)

Temporal Graph Learning for Financial World: Algorithms, Scalability, Explainability & Fairness

Authors: Nitendra Rajput (Mastercard)*; Karamjit Singh (Mastercard)