Dynamic (Temporal) Graph Learning Reading List

I scanned over the accepted paper lists of top machine learning and data mining conferences for interests in dynamic (temporal) graph learning. If you are interested in graph learning, please refer to Graph Learning Reading List.

We also recommend you refer to Awesome-DynamicGraphLearning for further reading.

Contents

• IJCAI-2023 ICML-2023 KDD-2023 SIGIR-2023 NeurIPS-2023 CIKM-2023 AAAI-2023 ICLR-2023 WSDM-2023 WWW-2023 ICDE-2023 SIGMOD-2023
• IJCAI-2022 ICML-2022 KDD-2022 SIGIR-2022 NeurIPS-2022 CIKM-2022 AAAI-2022 ICLR-2022 WSDM-2022 WWW-2022 ICDE-2022 SIGMOD-2022

IJCAI-2023

1. Minimizing Reachability Times on Temporal Graphs via Shifting Labels

   Argyrios Deligkas, Eduard Eiben, George Skretas

2. Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning

   Hao Dong, Zhiyuan Ning, Pengyang Wang, Ziyue Qiao, Pengfei Wang, Yuanchun Zhou, Yanjie Fu

3. Totally Dynamic Hypergraph Neural Networks

   Peng Zhou, Zongqian Wu, Xiangxiang Zeng, Guoqiu Wen, Junbo Ma, Xiaofeng Zhu

4. SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs

   Sheng Tian, Jihai Dong, Jintang Li, WENLONG ZHAO, Xiaolong Xu, Baokun Wang, Bowen Song, Changhua Meng, Tianyi Zhang, Liang Chen

ICML-2023

1. DRew: Dynamically Rewired Message Passing with Delay

   Benjamin Gutteridge, Xiaowen Dong, Michael M. Bronstein, Francesco Di Giovanni

2. ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines

   Siyuan Chen, Pratik Pramod Fegade, Tianqi Chen, Phillip Gibbons, Todd Mowry

3. HOPE: High-order Graph ODE For Modeling Interacting Dynamics

   Xiao Luo, Jingyang Yuan, Zijie Huang, Huiyu Jiang, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun

KDD-2023

1. Using Motif Transitions for Temporal Graph Generation

   Penghang Liu, Ahmet Erdem Sariyuce

2. Temporal Dynamics-Aware Adversarial Attacks on Discrete-Time Dynamic Graph Models

   Kartik Sharma, Rakshit Trivedi, Rohit Sridhar, Srijan Kumar

3. Community-based Dynamic Graph Learning for Popularity Prediction

   Shuo Ji, Xiaodong Lu, Mingzhe Liu, Leilei Sun, Chuanren Liu, Bowen Du, Hui Xiong

4. Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds

   Haoran Deng, Yang Yang, Jiahe Li, Haoyang Cai, Shiliang Pu, Weihao Jiang

5. DyTed: Disentangled Representation Learning for Discrete-Time Dynamic Graph

   Kaike Zhang, Qi Cao, Gaolin Fang, Xu Bingbing, Hongjian Zou, Huawei Shen, Xueqi Cheng

6. WinGNN: Dynamic Graph Neural Networks with Random Gradient Aggregation Window

   Yifan Zhu, Fangpeng Cong, Dan Zhang, Wenwen Gong, Qika Lin, Wenzheng Feng, Yuxiao Dong, Jie Tang

7. Generalizing Graph ODE for Learning Complex System Dynamics across Environments

   Zijie Huang, Yizhou Sun, Wei Wang

8. TrustGeo: Uncertainty-Aware Dynamic Graph Learning for Trustworthy IP Geolocation

   Wenxin Tai, Bin Chen, Fan Zhou, Ting Zhong, Goce Trajcevski, Yong Wang, Kai Chen

SIGIR-2023

1. DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph Reasoning

   Shangfei Zheng, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wei Chen, Lei Zhao

2. Learn from Relational Correlations and Periodic Events for Temporal Knowledge Graph Reasoning

   Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu

3. StreamE: Learning to Update Representations for Temporal Knowledge Graphs in Streaming Scenarios

   Jiasheng Zhang, Jie Shao, Bin Cui

4. Continual Learning on Dynamic Graphs via Parameter Isolation

   Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim

5. Dynamic Graph Evolution Learning for Recommendation

   Haoran Tang, Shiqing Wu, Guandong Xu, Qing Li

6. Time-interval Aware Share Recommendation via Bi-directional Continuous Time Dynamic Graphs

   Ziwei Zhao, Xi Zhu, Tong Xu, Aakas Lizhiyu, Yu Yu, Xueying Li, Zikai Yin, Enhong Chen

NeurIPS-2023

1. Calibrate and Boost Logical Expressiveness of GNN Over Multi-Relational and Temporal Graphs

   Yeyuan Chen, Dingmin Wang

2. Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization

   Haonan Yuan, Qingyun Sun, Xingcheng Fu, Ziwei Zhang, Cheng Ji, Hao Peng, Jianxin Li

3. Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT

   Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He

4. Newton–Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems

   Lingbing Guo, Weiqing Wang, Zhuo Chen, Ningyu Zhang, Zequn Sun, Yixuan Lai, Qiang Zhang, Huajun Chen

5. Recurrent Temporal Revision Graph Networks

   Yizhou Chen, Anxiang Zeng, Qingtao Yu, Kerui Zhang, Cao Yuanpeng, Kangle Wu, Guangda Huzhang, Han Yu, Zhiming Zhou

6. Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts

   Zeyang Zhang, Xin Wang, Ziwei Zhang, Zhou Qin, Weigao Wen, Hui Xue', Haoyang Li, Wenwu Zhu

7. TFLEX: Temporal Feature-Logic Embedding Framework for Complex Reasoning over Temporal Knowledge Graph

   Xueyuan Lin, Chengjin Xu, Haihong E, Fenglong Su, Gengxian Zhou, Tianyi Hu, Ningyuan Li, Mingzhi Sun, Haoran Luo

8. TempME: Towards the Explainability of Temporal Graph Neural Networks via Motif Discovery

   Jialin Chen, Rex Ying

9. Temporal Graph Benchmark for Machine Learning on Temporal Graphs

   Shenyang Huang, Farimah Poursafaei, Jacob Danovitch, Matthias Fey, Weihua Hu, Emanuele Rossi, Jure Leskovec, Michael Bronstein, Guillaume Rabusseau, Reihaneh Rabbany

10. Towards Better Dynamic Graph Learning: New Architecture and Unified Library

    Le Yu, Leilei Sun, Bowen Du, Weifeng Lv

CIKM-2023

1. GraphERT-- Transformers-based Temporal Dynamic Graph Embedding

   Moran Beladev, Gilad Katz, Lior Rokach, Uriel Singer, Kira Radinsky

2. THGNN: An Embedding-based Model for Anomaly Detection in Dynamic Heterogeneous Social Networks

   Yilin Li, Jiaqi Zhu, Congcong Zhang, Yi Yang, Jiawen Zhang, Ying Qiao, Hongan Wang

3. ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding

   Zixuan Liu, Gaurush Hiranandani, Kun Qian, Edward W. Huang, Yi Xu, Belinda Zeng, Karthik Subbian, Sheng Wang

4. Towards Fair Financial Services for All: A Temporal GNN Approach for Individual Fairness on Transaction Networks

   Zixing Song, Yuji Zhang, Irwin King

5. RDGSL: Dynamic Graph Representation Learning with Structure Learning

   Siwei Zhang, Yun Xiong, Yao Zhang, Yiheng Sun, Xi Chen, Yizhu Jiao, Yangyong Zhu

6. Time-aware Graph Structure Learning via Sequence Prediction on Temporal Graphs

   Haozhen Zhang, Xueting Han, Xi Xiao, Jing Bai

AAAI-2023

1. Temporal Knowledge Graph Reasoning with Historical Contrastive Learning

   Yi Xu, Junjie Ou, Hui Xu, Luoyi Fu

2. Inferring Patient Zero on Temporal Networks via Graph Neural Networks

   Xiaolei Ru, Jack Murdoch Moore, Xin-Ya Zhang, Yeting Zeng, Gang Yan

3. FTM: A Frame-Level Timeline Modeling Method for Temporal Graph Representation Learning

   Bowen Cao, Qichen Ye, Weiyuan Xu, Yuexian Zou

4. Generic and Dynamic Graph Representation Learning for Crowd Flow Modeling

   Liangzhe Han, Ruixing Zhang, Leilei Sun, Bowen Du, Yanjie Fu, Tongyu Zhu

5. Next POI Recommendation with Dynamic Graph and Explicit Dependency

   Feiyu Yin, Yong Liu, Zhiqi Shen, Lisi Chen, Shuo Shang, Peng Han

6. Learnable Spectral Wavelets on Dynamic Graphs to Capture Global Interactions

   Anson Bastos, Abhishek Nadgeri, Kuldeep Singh, Toyotaro Suzumura, Manish Singh

7. Directed Acyclic Graph Structure Learning from Dynamic Graphs

   Shaohua Fan, Shuyang Zhang, Xiao Wang, Chuan Shi

8. Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks

   Jintang Li, Zhouxin Yu, Zulun Zhu, Liang Chen, Qi Yu, Zibin Zheng, Sheng Tian, Ruofan Wu, Changhua Meng

9. Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach

   Sérgio Machado, Anirudh Sridhar, Paulo Gil, Jorge Henriques, José M. F. Moura, Augusto Santos

10. Dynamic Heterogeneous Graph Attention Neural Architecture Search

    Zeyang Zhang, Ziwei Zhang, Xin Wang, Yijian Qin, Zhou Qin, Wenwu Zhu

11. Orders Are Unwanted: Dynamic Deep Graph Convolutional Network for Personality Detection

    Tao Yang, Jinghao Deng, Xiaojun Quan, Qifan Wang

ICLR-2023

1. Towards Open Temporal Graph Neural Networks

   Kaituo Feng, Changsheng Li, Xiaolu Zhang, JUN ZHOU

2. Do We Really Need Complicated Model Architectures For Temporal Networks?

   Weilin Cong, Si Zhang, Jian Kang, Baichuan Yuan, Hao Wu, Xin Zhou, Hanghang Tong, Mehrdad Mahdavi

3. Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks

   Guangji Bai, Chen Ling, Liang Zhao

4. Explaining Temporal Graph Models through an Explorer-Navigator Framework

   Wenwen Xia, Mincai Lai, Caihua Shan, Yao Zhang, Xinnan Dai, Xiang Li, Dongsheng Li

5. Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs

   Sudhanshu Chanpuriya, Ryan A. Rossi, Sungchul Kim, Tong Yu, Jane Hoffswell, Nedim Lipka, Shunan Guo, Cameron N Musco

6. Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems

   Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M Asano, Taco Cohen, Efstratios Gavves

7. GReTo: Remedying dynamic graph topology-task discordance via target homophily

   Zhengyang Zhou, qihe huang, Gengyu Lin, Kuo Yang, LEI BAI, Yang Wang

WSDM-2023

1. Interpretable Research Interest Shift Detection with Temporal Heterogeneous Graphs

   Qiang Yang, Changsheng Ma, Qiannan Zhang, Xin Gao, Chuxu Zhang, Xiangliang Zhang

2. Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs

   Linhao Luo, Gholamreza Haffari, Shirui Pan

WWW-2023

1. TIGER: Temporal Interaction Graph Embedding with Restarts

   Yao Zhang, Yun Xiong, Yongxiang Liao, Yiheng Sun, Yucheng Jin, Xuehao Zheng, Yangyong Zhu

2. HGWaveNet: A Hyperbolic Graph Neural Network for Temporal Link Prediction

   Qijie Bai, Changli Nie, Haiwei Zhang, Dongming Zhao, Xiaojie Yuan

3. Expressive and Efficient Representation Learning for Ranking Links in Temporal Graphs

   Susheel Suresh, Mayank Shrivastava, Arko Mukherjee, Jennifer Neville, Pan Li

4. Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning

   Mengqi Zhang, Yuwei Xia, Qiang Liu, Shu Wu, Liang Wang

5. Meta-Learning Based Knowledge Extrapolation for Temporal Knowledge Graph

   Zhongwu Chen, Chengjin Xu, Fenglong Su, Zhen Huang, Yong Dou

6. Hierarchical Self-Attention Embedding for Temporal Knowledge Graph Completion

   Xin Ren, Luyi Bai, Qianwen Xiao, Xiangxi Meng

7. Fairness-Aware Clique-Preserving Spectral Clustering of Temporal Graphs

   Dongqi Fu, Dawei Zhou, Ross Maciejewski, Arie Croitoru, Marcus Boyd, Jingrui He

8. An Attentional Multi-scale Co-evolving Model for Dynamic Link Prediction

   Guozhen Zhang, Tian Ye, Depeng Jin, Yong Li

9. Dynamically Expandable Graph Convolution for Streaming Recommendation

   Bowei He, Xu He, Yingxue Zhang, Ruiming Tang, Chen Ma

ICDE-2023

1. Relational Temporal Graph Convolutional Networks for Ranking-Based Stock Prediction

   Zetao Zheng (University of Electronic Science and Technology of China); Jie Shao (University of Electronic Science and Technology of China); Jia Zhu (Zhejiang Normal University); Heng Tao Shen (University of Electronic Science and Technology of China (UESTC))*

2. RETIA: Relation-Entity Twin-Interact Aggregation for Temporal Knowledge Graph Extrapolation

   Kangzheng Liu (Huazhong University of Science and Technology); Feng Zhao (Huazhong University of Science and Technology); Guandong Xu (University of Technology Sydney, Australia); Xianzhi Wang (University of Technology Sydney); Hai Jin (Huazhong University of Science and Technology)*

3. Instant Representation Learning for Recommendation over Large Dynamic Graphs

   Cheng Wu (Tsinghua University); Chaokun Wang (Tsinghua University); Jingcao Xu (Tsinghua University); ZiWei Fang (Tsinghua University); Tiankai Gu (Alibaba Group); Changping Wang (Kuai shou); Yang Song (Kuaishou Inc); Kai Zheng (Kuaishou); Xiaowei Wang (Beijing Kuaishou Technology Co., Ltd.); Guorui Zhou (Kuaishou Inc)*

4. CLDG: Contrastive Learning on Dynamic Graphs

   Yiming Xu (Xi’an Jiaotong University); Bin Shi (Xi’an jiaotong University); Teng Ma (Xi’an Jiaotong University); Bo Dong (Xi’an Jiaotong University); Haoyi Zhou (Beihang University); Qinghua Zheng (School of Electronic and Information Engineering, Xi’an Jiaotong University)*

5. SEIGN: A Simple and Efficient Graph Neural Network for Large Dynamic Graphs

   Xiao Qin (AWS AI/ML); Nasrullah Sheikh (IBM); Chuan Lei (Amazon Web Services); Berthold Reinwald (IBM Research-Almaden); Giacomo Domeniconi (U.S. Bank)*

SIGMOD-2023

1. Caerus: A Caching-based Framework for Scalable Temporal Graph Neural Networks

   Yiming Li (Hong Kong University of Science and Technology); Yanyan Shen (Shanghai Jiao Tong University); Lei Chen (Hong Kong University of Science and Technology); Mingxuan Yuan (Huawei)*

2. EARLY: Efficient and Reliable Graph Neural Network for Dynamic Graphs

   Haoyang Li (The Hong Kong University of Science and Technology); Lei Chen (Hong Kong University of Science and Technology);

IJCAI-2022

1. MERIT: Learning Multi-level Representations on Temporal Graphs

   Binbin Hu, Zhengwei Wu, Jun Zhou, Ziqi Liu, Zhigang Huangfu, Zhiqiang Zhang, Chaochao Chen

2. TiRGN: Time-Guided Recurrent Graph Network with Local-Global Historical Patterns for Temporal Knowledge Graph Reasoning

   Yujia Li, Shiliang Sun, Jing Zhao

3. Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction

   Ruixing Zhang, Liangzhe Han, Boyi Liu, Jiayuan Zeng, Leilei Sun

4. DyGRAIN: An Incremental Learning Framework for Dynamic Graphs

   Seoyoon Kim, Seongjun Yun, Jaewoo Kang

ICML-2022

1. On the Equivalence Between Temporal and Static Equivariant Graph Representations

   Jianfei Gao, Bruno Ribeiro

KDD-2022

1. Meta-Learned Metrics over Multi-Evolution Temporal Graphs

   Dongqi Fu, Liri Fang, Ross Maciejewski, Vetle I. Torvik, Jingrui He

2. Subset Node Anomaly Tracking over Large Dynamic Graphs

   Xingzhi Guo, Baojian Zhou, Steven Skiena

3. Disentangled Dynamic Heterogeneous Graph Learning for Opioid Overdose Prediction

   Qianlong Wen, Zhongyu Ouyang, Jianfei Zhang, Yiyue Qian, Yanfang Ye, Chuxu Zhang

4. ROLAND: Graph Learning Framework for Dynamic Graphs

   Jiaxuan You, Tianyu Du, Jure Leskovec

5. Instant Graph Neural Networks for Dynamic Graphs

   Yanping Zheng, Hanzhi Wang, Zhewei Wei, Jiajun Liu, Sibo Wang

6. Talent Demand-Supply Joint Prediction with Dynamic Heterogeneous Graph Enhanced Meta-Learning

   Zhuoning Guo, Hao Liu, Le Zhang, Qi Zhang, Hengshu Zhu, Hui Xiong

SIGIR-2022

1. Dynamic Graph Segmentation for Deep Graph Neural Networks

   Johan Kok Zhi Kang, Suwei Yang, Suriya Venkatesan, Sien Yi Tan, Feng Cheng, Bingsheng He

2. DisenCTR: Dynamic Graph-based Disentangled Representation for Click-Through Rate Prediction

   Yifan Wang, Yifang Qin, Fang Sun, Bo Zhang, Xuyang Hou, Ke Hu, Jia Cheng, Jun Lei, Ming Zhang

NeurIPS-2022

1. Learning-based Motion Planning in Dynamic Environments Using GNNs and Temporal Encoding.

   Ruipeng Zhang, Chenning Yu, Jingkai Chen, Chuchu Fan, Sicun Gao

2. Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs.

   Ruijie Wang, Zheng Li, Dachun Sun, Shengzhong Liu, Jinning Li, Bing Yin, Tarek F. Abdelzaher

3. Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs.

   Ming Jin, Yuan-Fang Li, Shirui Pan

4. Provably expressive temporal graph networks.

   Amauri H. Souza, Diego Mesquita, Samuel Kaski, Vikas Garg

5. Parameter-free Dynamic Graph Embedding for Link Prediction.

   Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu

6. DDGCN: Dual Dynamic Graph Convolutional Networks for Rumor Detection on Social Media

   Mengzhu Sun, Xi Zhang, Jiaqi Zheng, Guixiang Ma

7. Towards Better Evaluation for Dynamic Link Prediction

   Farimah Poursafaei, Shenyang Huang, Kellin Pelrine, Reihaneh Rabbany

CIKM-2022

1. Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction.

   Hao Geng, Deqing Wang, Fuzhen Zhuang, Xuehua Ming, Chenguang Du, Ting Jiang, Haolong Guo, Rui Liu

2. Dynamic Network Embedding via Temporal Path Adjacency Matrix Factorization.

   Zhuoming Li, Darong Lai

3. Dynamic Hypergraph Learning for Collaborative Filtering.

   Chunyu Wei, Jian Liang, Bing Bai, Di Liu

4. LGP: Few-Shot Class-Evolutionary Learning on Dynamic Graphs.

   Tiancheng Huang, Feng Zhao, Donglin Wang

5. Embedding Global and Local Influences for Dynamic Graphs.

   Meng Liu, Jiaming Wu, Yong Liu

6. Multi-Aspect Embedding of Dynamic Graphs.

   Aimin Sun, Zhiguo Gong

7. DA-Net: Distributed Attention Network for Temporal Knowledge Graph Reasoning.

   Kangzheng Liu, Feng Zhao, Hongxu Chen, Yicong Li, Guandong Xu, Hai Jin

8. A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning.

   Li Sun, Junda Ye, Hao Peng, Philip S. Yu

9. Temporality- and Frequency-aware Graph Contrastive Learning for Temporal Network.

   Shiyin Tan, Jingyi You, Dongyuan Li

10. Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion.

    Fuwei Zhang, Zhao Zhang, Xiang Ao, Fuzhen Zhuang, Yongjun Xu, Qing He

11. Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction.

    Sheng Xiang, Dawei Cheng, Chencheng Shang, Ying Zhang, Yuqi Liang

AAAI-2022

1. TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs

   Yushan Liu, Yunpu Ma, Marcel Hildebrandt, Mitchell Joblin, Volker Tresp

2. TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs

   Shubham Gupta, Sahil Manchanda, Srikanta Bedathur, Sayan Ranu

3. Temporal Knowledge Graph Completion Using Box Embeddings

   Johannes Messner, Ralph Abboud, Ismail Ilkan Ceylan

4. Solving Disjunctive Temporal Networks with Uncertainty under Restricted Time-Based Controllability Using Tree Search and Graph Neural Networks

   Kevin Osanlou, Jeremy Frank, Andrei Bursuc, Tristan Cazenave, Eric Jacopin, Christophe Guettier, J. Benton

ICLR-2022

WSDM-2022

1. EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs

   Namyong Park, Fuchen Liu, Purvanshi Mehta, Dana Cristofor, Christos Faloutsos, Yuxiao Dong

WWW-2022

1. TTAGN: Temporal Transaction Aggregation Graph Network for Ethereum Phishing Scams Detection

   Sijia Li, Gaopeng Gou, Chang Liu, Chengshang Hou, Zhenzhen Li, Gang Xiong

2. TREND: TempoRal Event and Node Dynamics for Graph Representation Learning

   Zhihao Wen, Yuan Fang

3. Element-guided Temporal Graph Representation Learning for Temporal Sets Prediction

   Le Yu, Guanghui Wu, Leilei Sun, Bowen Du, Weifeng Lv

ICDE-2022

1. On Compressing Temporal Graphs

   Panagiotis Liakos, Katia Papakonstantinopoulou, Theodore Stefou, Alex Delis

2. Dynamic Hypergraph Convolutional Network

   Nan Yin, Fuli Feng, Zhigang Luo, Xiang Zhang, Wenjie Wang, Xiao Luo, Chong Chen, Xian-Sheng Hua

SIGMOD-2022