1. Dara Bahri , Heinrich Jiang , Yi Tay , and Donald Metzler . 2021 . SCARF: Self supervised contrastive learning using random feature corruption. arXiv preprint arXiv:2106.15147 (2021). Dara Bahri, Heinrich Jiang, Yi Tay, and Donald Metzler. 2021. SCARF: Self supervised contrastive learning using random feature corruption. arXiv preprint arXiv:2106.15147 (2021).
2. Vadim Borisov , Tobias Leemann , Kathrin Seßler , Johannes Haug , Martin Pawelczyk , and Gjergji Kasneci . 2021. Deep neural networks and tabular data: A survey. arXiv preprint arXiv:2110.01889 ( 2021 ). Vadim Borisov, Tobias Leemann, Kathrin Seßler, Johannes Haug, Martin Pawelczyk, and Gjergji Kasneci. 2021. Deep neural networks and tabular data: A survey. arXiv preprint arXiv:2110.01889 (2021).
3. ARM-Net: Adaptive Relation Modeling Network for Structured Data
4. Deli Chen , Yanyai Lin , Lei Li , Xuancheng Ren Li , Jie Zhou, Xu Sun, et al. 2020 . Distance-wise graph contrastive learning. arXiv preprint arXiv:2012.07437 (2020). Deli Chen, Yanyai Lin, Lei Li, Xuancheng Ren Li, Jie Zhou, Xu Sun, et al. 2020. Distance-wise graph contrastive learning. arXiv preprint arXiv:2012.07437 (2020).
5. Runjin Chen , Yanyan Shen , and Dongxiang Zhang . 2021 . GNEM: A Generic Oneto- Set Neural Entity Matching Framework. In WWW '21: The Web Conference 2021 , Virtual Event / Ljubljana, Slovenia , April 19-23, 2021, Jure Leskovec, Marko Grobelnik, Marc Najork, Jie Tang, and Leila Zia (Eds.). ACM / IW3C2, 1686--1694. https://doi.org/10.1145/3442381.3450119 10.1145/3442381.3450119 Runjin Chen, Yanyan Shen, and Dongxiang Zhang. 2021. GNEM: A Generic Oneto- Set Neural Entity Matching Framework. In WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021, Jure Leskovec, Marko Grobelnik, Marc Najork, Jie Tang, and Leila Zia (Eds.). ACM / IW3C2, 1686--1694. https://doi.org/10.1145/3442381.3450119