| 2020 | HybridGNN-SR: Combining Unsupervised and Supervised Graph Learning for Session-based Recommendation. | Kai Deng, Jiajin Huang, Jin Qin |
| 2020 | Interpreting Deep Neural Networks through Prototype Factorization. | Subhajit Das, Panpan Xu, Zeng Dai, Alex Endert, Liu Ren |
| 2020 | NAG: Neural feature aggregation framework for credit card fraud detection. | Kanishka Ghosh Dastidar, Johannes Jurgovsky, Wissam Siblini, Liyun He-Guelton, Michael Granitzer |
| 2020 | Insights From Urban Sensing Data: From Chaos to Predicted Congestion Patterns. | Minh-Son Dao, Ngoc-Thanh Nguyen, R. Uday Kiran, Koji Zettsu |
| 2020 | A Deep Neural Network Approach to Tracing Paths in Cybersecurity Investigations. | Clinton Daniel, Thomas Gill, Alan R. Hevner, Matthew Mullarkey |
| 2020 | The Relaxed Maximum Entropy Distribution and its Application to Pattern Discovery. | Sebastian Dalleiger, Jilles Vreeken |
| 2020 | Message from the ICDM 2020 General Chairs. | Alfredo Cuzzocrea, Carlo Zaniolo |
| 2020 | Scalable Distributed Pivot Analysis over Massive Big Data: Models, Paradigms, New Advancements. | Alfredo Cuzzocrea |
| 2020 | Just Wait For It... Mining Sequential Patterns with Reliable Prediction Delays. | Joscha Cppers, Jilles Vreeken |
| 2020 | Inductive Granger Causal Modeling for Multivariate Time Series. | Yunfei Chu, Xiaowei Wang, Jianxin Ma, Kunyang Jia, Jingren Zhou, Hongxia Yang |
| 2020 | Learning to Undersampling for Class Imbalanced Credit Risk Forecasting. | Jianfeng Chi, Guanxiong Zeng, Qiwei Zhong, Ting Liang, Jinghua Feng, Xiang Ao, Jiayu Tang |
| 2020 | TSSRGCN: Temporal Spectral Spatial Retrieval Graph Convolutional Network for Traffic Flow Forecasting. | Xu Chen, Yuanxing Zhang, Lun Du, Zheng Fang, Yi Ren, Kaigui Bian, Kunqing Xie |
| 2020 | Scenario-aware and Mutual-based approach for Multi-scenario Recommendation in E-Commerce. | Yuting Chen, Yanshi Wang, Yabo Ni, Anxiang Zeng, Lanfen Lin |
| 2020 | A Hierarchical Knowledge and Interest Propagation Network for Recommender Systems. | Qinghong Chen, Huobin Tan, Guangyan Lin, Ze Wang |
| 2020 | Anomaly Detection on Dynamic Bipartite Graph with Burstiness. | Zhe Chen, Aixin Sun |
| 2020 | Ensemble Node Embeddings using Tensor Decomposition: A Case-Study on DeepWalk. | Jia Chen, Evangelos E. Papalexakis |
| 2020 | Improving Object Detection with Relation Mining Network. | Shengjia Chen, Zhixin Li, Feicheng Huang, Canlong Zhang, Huifang Ma |
| 2020 | LFGCN: Levitating over Graphs with Levy Flights. | Yuzhou Chen, Yulia R. Gel, Konstantin Avrachenkov |
| 2020 | Multi-Task Time Series Forecasting With Shared Attention. | Zekai Chen, Jiaze E, Xiao Zhang, Hao Sheng, Xiuzheng Cheng |
| 2020 | GraphEBM: Energy-based Graph Construction for Semi-Supervised Learning. | Zhijie Chen, Hongtai Cao, Kevin Chen-Chuan Chang |
| 2020 | COAL: Convolutional Online Adaptation Learning for Opinion Mining. | Iti Chaturvedi, Edoardo Ragusa, Paolo Gastaldo, Erik Cambria |
| 2020 | One Belt, One Road, One Sentiment? A Hybrid Approach to Gauging Public Opinions on the New Silk Road Initiative. | Jonathan Kevin Chandra, Erik Cambria, Andrea Nanetti |
| 2020 | FairMixRep: Self-supervised Robust Representation Learning for Heterogeneous Data with Fairness constraints. | Souradip Chakraborty, Ekansh Verma, Saswata Sahoo, Jyotishka Datta |
| 2020 | G-SimCLR: Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling. | Souradip Chakraborty, Aritra Roy Gosthipaty, Sayak Paul |
| 2020 | Fast and Accurate Time Series Classification Through Supervised Interval Search. | Nestor Cabello, Elham Naghizade, Jianzhong Qi, Lars Kulik |