This reading list consists of 6 sections, with each containing 2-3 papers. The questions in the written exam will be based on the papers listed here, with 1-2 questions related to each section.
Section 1
- Yu Meng, Jiaxin Huang, Guangyuan Wang, Zihan Wang, Chao Zhang, Yu Zhang and Jiawei Han, ”Discriminative Topic Mining via Category-Name Guided Text Embedding”, in Proc. 2020 Int. World Wide Web Conf. (WWW’20), April. 2020
- Jiaxin Huang, Yiqing Xie, Yu Meng, Yunyi Zhang and Jiawei Han, “CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring”, in Proc. of 2020 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD’20), August 2020
- Ziniu Hu, Yuxiao Dong, Kuansan Wang, Kai-Wei Chang, Yizhou Sun, “GPT-GNN: Generative Pre-Training of Graph Neural Networks.”, in Proc. of 2020 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD’20), August 2020
Section 2
- Yao Zhou, Arun Reddy Nelakurthi, Jingrui He: Unlearn What You Have Learned: Adaptive Crowd Teaching with Exponentially Decayed Memory Learners. KDD 2018: 2817-2826
- Dawei Zhou, Si Zhang, Mehmet Yigit Yildirim, Scott Alcorn, Hanghang Tong, Hasan Davulcu, Jingrui He: A Local Algorithm for Structure-Preserving Graph Cut. KDD 2017: 655-664
- Matthäus Kleindessner, Samira Samadi, Pranjal Awasthi, Jamie Morgenstern: Guarantees for Spectral Clustering with Fairness Constraints. ICML 2019: 3458-3467
Section 3
- Yaojing Wang, Guosheng Pan, Yuan Yao, Hanghang Tong, Hongxia Yang, Feng Xu and Jian Lu: Bringing Order to Network Embedding: A Relative Ranking based Approach, CIKM 2020
- Pang Wei Koh, Percy Liang: Understanding Black-box Predictions via Influence Functions. ICML 2017
- Si Zhang, Hanghang Tong: FINAL: Fast Attributed Network Alignment. KDD 2016
Section 4
- Jaromír Janisch, Tomás Pevný, Viliam Lisý: Classification with Costly Features Using Deep Reinforcement Learning. AAAI 2019: 3959-3966
- Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang, Yu Lei, Bo Yang: Geom-GCN: Geometric Graph Convolutional Networks. ICLR 2020
- Wanyun Cui, Yanghua Xiao, Haixun Wang, Yangqiu Song, Seung-won Hwang, Wei Wang: KBQA: Learning Question Answering over QA Corpora and Knowledge Bases. PVLDB 10(5): 565-576, 2017. VLDB17
Section 5
- Heng Ji and Clare Voss. 2020. Low-resource Event Extraction based on Share-and-Transfer. Invited Book Chapter for Events and Stories, Cambridge Press.
- Ying Lin, Heng Ji, Fei Huang, Lingfei Wu. 2020. A Joint Neural Model for Information Extraction with Global Features. Proc. The 58th Annual Meeting of the Association for Computational Linguistics (ACL2020).
- Ruben Kruiper, Julian Vincent, Jessica Chen-Burger, Marc Desmulliez, Ioannis Konstas. 2020. In Layman’s Terms: Semi-Open Relation Extraction from Scientific Texts. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL2020)
Section 6
- Chen Qu, Liu Yang, Cen Chen, Minghui Qiu, W. Bruce Croft, and Mohit Iyyer. 2020. Open-Retrieval Conversational Question Answering. In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’20). Association for Computing Machinery, New York, NY, USA, 539–548. http://www.library.illinois.edu/proxy/go.php?url=https://doi.org/10.1145/3397271.3401110
- E. Choi, H. He, M. Iyyer, M. Yatskar,W.-T. Yih, Y. Choi, P. Liang, and L. Zettlemoyer. QuAC: Question Answering in Context. In EMNLP, 2018. https://arxiv.org/abs/1808.07036