accept paper list

Anomaly detection / Outlier / Out-of-distribution

• Decoupling Representation Learning and Classification for GNN-based Anomaly Detection Yanling Wang, Jing Zhang, Shasha Guo, Hongzhi Yin, Cuiping Li and Hong Chen

Interpretable / Explainable

• FedNLP: An interpretable NLP System to Decode Federal Reserve Communications

  Jean Lee, Hoyoul Luis Youn, Nicholas Stevens, Josiah Poon and Soyeon Caren Han

• Interpretable Document Representations for Fast and Accurate Retrieval of Mathematical Information

  Vít Novotný

• Towards Trustworthiness in the context of Explainable Search

  Sayantan Polley, Rashmi Koparde, Akshaya Bindu Gowri, Maneendra Perera and Andreas Nuernberger

Causal discovery

• Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method

  Fuli Feng, Weiran Huang, Xin Xin, Xiangnan He, Tat-Seng Chua and Qifan Wang

• Deconfounded Video Moment Retrieval with Causal Intervention

  Xun Yang, Fuli Feng, Wei Ji, Meng Wang and Tat-Seng Chua

Data augmentation

• Counterfactual Data-Augmented Sequential Recommendation Zhenlei Wang, Jingsen Zhang, Hongteng Xu, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao and Ji-Rong Wen

• AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search Xing Xie, Chaozhuo Li, Zheng Liu, Bochen Pang, Tianqi Yang, Yuming Liu, Yanling Cui, Hao Sun, Qi Zhang and Liangjie Zhang

• NIP-GCN: An Augmented Graph Convolutional Network with Node Interaction Patterns Manish Chandra, Debasis Ganguly, Pabitra Mitra, Bithika Pal and James Thomas

• Rumor Detection on Social Media with Event Augmentations

  Zhenyu He, Ce Li, Fan Zhou and Yi Yang

• Unsupervised Extractive Text Summarization with Distance-Augmented Sentence Graphs Jingzhou Liu, Dominic Hughes and Yiming Yang

• Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer Zhiwei Liu, Ziwei Fan, Yu Wang and Philip S. Yu

• Cheap and Good? Simple and Effective Data Augmentation for Low Resource Machine Reading

  Hoang Van, Vikas Yadav and Mihai Surdeanu

• ReadsRE: Retrieval-Augmented Distantly Supervised Relation Extraction Yue Zhang, Hongliang Fei and Ping Li

• Temporal Augmented Graph Neural Networks for Session-Based Recommendations Huachi Zhou, Qiaoyu Tan, Xiao Huang, Kaixiong Zhou and Xiaoling Wang

• Select, Substitute, Search: A New Benchmark for Knowledge-Augmented Visual Question Answering Mayank Kothyari, Aman Jain, Vishwajeet Kumar, Preethi Jyothi, Soumen Chakrabarti and Ganesh Ramakrishnan

Time Series

• Temporal Event Profiling based on Multivariate Time Series Analysis over Long-term Document Archives

  Jiexin Wang, Adam Jatowt and Masatoshi Yoshikawa

• Time Aware Hyperbolic LSTM for Financial Stream Modeling

  Ramit Sawhney, Shivam Agarwal, Megh Thakkar, Arnav Wadhwa and Rajiv Shah

Sequence

• CINES: Explore Citation Network and Event Sequences for Citation Forecasting Fang He, Wang-Chien Lee, Tao-Yang Fu and Zhen Lei

Heterogeneous

• Heterogeneous Attention Network for Effective and Efficient Cross-modal Retrieval Tan Yu, Yi Yang, Yi Li, Lin Liu, Hongliang Fei and Ping Li

• Graph Meta Network for Multi-Behavior Recommendation with Interaction Heterogeneity and Diversity Lianghao Xia, Chao Huang, Yong Xu, Peng Dai and Liefeng Bo

Recurrent neural network / RNN / LSTM / GRU

• Time Aware Hyperbolic LSTM for Financial Stream Modeling Ramit Sawhney, Shivam Agarwal, Megh Thakkar, Arnav Wadhwa and Rajiv Shah