| 2021 | Effective and Adaptive Refined Multi-metric Similarity Graph Fusion for Multi-view Clustering. | Wentao Rong, Enhong Zhuo, Guihua Tao, Hongmin Cai |
| 2021 | Overview and Insights from Scope Detection of the Peer Review Articles Shared Tasks 2021. | Saichethan Miriyala Reddy, Naveen Saini |
| 2021 | SCARLET: Explainable Attention Based Graph Neural Network for Fake News Spreader Prediction. | Bhavtosh Rath, Xavier Morales, Jaideep Srivastava |
| 2021 | Discovering Dense Correlated Subgraphs in Dynamic Networks. | Giulia Preti, Polina Rozenshtein, Aristides Gionis, Yannis Velegrakis |
| 2021 | SigTran: Signature Vectors for Detecting Illicit Activities in Blockchain Transaction Networks. | Farimah Poursafaei, Reihaneh Rabbany, Zeljko Zilic |
| 2021 | A k-MCST Based Algorithm for Discovering Core-Periphery Structures in Graphs. | Susheela Polepalli, Raj Bhatnagar |
| 2021 | T | Nikhil Pinnaparaju, Manish Gupta, Vasudeva Varma |
| 2021 | Scholarly Text Classification with Sentence BERT and Entity Embeddings. | Guangyuan Piao |
| 2021 | Memorization in Deep Neural Networks: Does the Loss Function Matter? | Deep Patel, P. S. Sastry |
| 2021 | IACN: Influence-Aware and Attention-Based Co-evolutionary Network for Recommendation. | Shalini Pandey, George Karypis, Jaideep Srivastava |
| 2021 | Digitize-PID: Automatic Digitization of Piping and Instrumentation Diagrams. | Shubham Paliwal, Arushi Jain, Monika Sharma, Lovekesh Vig |
| 2021 | Hierarchical Learning of Dependent Concepts for Human Activity Recognition. | Aomar Osmani, Massinissa Hamidi, Pegah Alizadeh |
| 2021 | Reliably Calibrated Isotonic Regression. | Otto Nyberg, Arto Klami |
| 2021 | Hierarchical Topic Model for Tensor Data and Extraction of Weekly and Daily Patterns from Activity Monitor Records. | Shunichi Nomura, Michiko Watanabe, Yuko Oguma |
| 2021 | LightCAKE: A Lightweight Framework for Context-Aware Knowledge Graph Embedding. | Zhiyuan Ning, Ziyue Qiao, Hao Dong, Yi Du, Yuanchun Zhou |
| 2021 | Loss-Aware Pattern Inference: A Correction on the Wrongly Claimed Limitations of Embedding Models. | Mojtaba Nayyeri, Chengjin Xu, Yadollah Yaghoobzadeh, Sahar Vahdati, Mirza Mohtashim Alam, Hamed Shariat Yazdi, Jens Lehmann |
| 2021 | Addressing the Class Imbalance Problem in Medical Image Segmentation via Accelerated Tversky Loss Function. | Nikhil Nasalwai, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal |
| 2021 | Active Learning Based Similarity Filtering for Efficient and Effective Record Linkage. | Charini Nanayakkara, Peter Christen, Thilina Ranbaduge |
| 2021 | Autonomous Vehicle Path Prediction Using Conditional Variational Autoencoder Networks. | Jagadish D. N., Arun Chauhan, Lakshman Mahto |
| 2021 | STEPs-RL: Speech-Text Entanglement for Phonetically Sound Representation Learning. | Prakamya Mishra |
| 2021 | Stratified Sampling for Extreme Multi-label Data. | Maximillian Merrillees, Lan Du |
| 2021 | A Multi-task Kernel Learning Algorithm for Survival Analysis. | Zizhuo Meng, Jie Xu, Zhidong Li, Yang Wang, Fang Chen, Zhiyong Wang |
| 2021 | Graph InfoClust: Maximizing Coarse-Grain Mutual Information in Graphs. | Costas Mavromatis, George Karypis |
| 2021 | Graph Attention Networks with Positional Embeddings. | Liheng Ma, Reihaneh Rabbany, Adriana Romero-Soriano |
| 2021 | Towards Multi-label Feature Selection by Instance and Label Selections. | Dou El Kefel Mansouri, Khalid Benabdeslem |