| 2021 | Maximizing Cohesion and Separation in Graph Representation Learning: A Distance-aware Negative Sampling Approach. | M. Maruf, Anuj Karpatne |
| 2021 | Unsupervised Selective Manifold Regularized Matrix Factorization. | Priya Mani, Carlotta Domeniconi, Igor Griva |
| 2021 | Dynamic Graph Convolutional Networks Using the Tensor M-Product. | Osman Asif Malik, Shashanka Ubaru, Lior Horesh, Misha E. Kilmer, Haim Avron |
| 2021 | Sign-aware Perturbations Regression. | Zhongnian Li, Tao Zhang, Wei Shao, Songcan Chen, Daoqiang Zhang |
| 2021 | Discrete Listwise Collaborative Filtering for Fast Recommendation. | Chenghao Liu, Tao Lu, Zhiyong Cheng, Xin Wang, Jianling Sun, Steven C. H. Hoi |
| 2021 | Sequence-aware Heterogeneous Graph Neural Collaborative Filtering. | Chen Li, Linmei Hu, Chuan Shi, Guojie Song, Yuanfu Lu |
| 2021 | "Misc"-Aware Weakly Supervised Aspect Classification. | Peiran Li, Fang Guo, Jingbo Shang |
| 2021 | Turning Attacks into Protection: Social Media Privacy Protection Using Adversarial Attacks. | Xiaoting Li, Lingwei Chen, Dinghao Wu |
| 2021 | A Practical Online Framework for Extracting Running Video Summaries under a Fixed Memory Budget. | Chandrashekhar Lavania, Kai Wei, Rishabh K. Iyer, Jeff A. Bilmes |
| 2021 | Equitable Allocation of Healthcare Resources with Fair Survival Models. | Kamrun Naher Keya, Rashidul Islam, Shimei Pan, Ian Stockwell, James R. Foulds |
| 2021 | TeX-Graph: Coupled tensor-matrix knowledge-graph embedding for COVID-19 drug repurposing. | Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos |
| 2021 | SUSAN: The Structural Similarity Random Walk Kernel. | Janis Kalofolias, Pascal Welke, Jilles Vreeken |
| 2021 | Inter-Series Attention Model for COVID-19 Forecasting. | Xiaoyong Jin, Yu-Xiang Wang, Xifeng Yan |
| 2021 | Physics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River Networks. | Xiaowei Jia, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Steven Markstrom, Jared Willard, Shaoming Xu, Michael S. Steinbach, Jordan S. Read, Vipin Kumar |
| 2021 | Graph-based Reinforcement Learning for Active Learning in Real Time: An Application in Modeling River Networks. | Xiaowei Jia, Beiyu Lin, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Jordan S. Read |
| 2021 | Scalable Graph Synthesis with Adj and 1 - Adj. | Jinsung Jeon, Jing Liu, Jayoung Kim, Jaehoon Lee, Noseong Park, Jamie Jooyeon Lee, zlem Uzuner, Sushil Jajodia |
| 2021 | Large-Scale Flight Frequency Optimization with Global Convergence in the US Domestic Air Passenger Markets. | Jinsung Jeon, Dongeun Lee, Seunghyun Hwang, Soyoung Kang, Noseong Park, Duanshun Li, Kookjin Lee, Jing Liu |
| 2021 | Density of States Graph Kernels. | Leo Huang, Andrew J. Graven, David Bindel |
| 2021 | Functional Autoencoders for Functional Data Representation Learning. | Tsung-Yu Hsieh, Yiwei Sun, Suhang Wang, Vasant G. Honavar |
| 2021 | Deep Neural Network for 3D Surface Segmentation based on Contour Tree Hierarchy. | Wenchong He, Arpan Man Sainju, Zhe Jiang, Da Yan |
| 2021 | Robust Dual Recurrent Neural Networks for Financial Time Series Prediction. | Jiayu He, Matloob Khushi, Nguyen Hoang Tran, Tongliang Liu |
| 2021 | Refining Network Alignment to Improve Matched Neighborhood Consistency. | Mark Heimann, Xiyuan Chen, Fatemeh Vahedian, Danai Koutra |
| 2021 | GPU-Accelerated Constraint-Based Causal Structure Learning for Discrete Data. | Christopher Hagedorn, Johannes Huegle |
| 2021 | Do winning tickets exist before DNN training? | Kathrin Grosse, Michael Backes |
| 2021 | New Approximation Algorithms for Forest Closeness Centrality - for Individual Vertices and Vertex Groups. | Alexander van der Grinten, Eugenio Angriman, Maria Predari, Henning Meyerhenke |