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ORCIDIEEE Transactions on Big Data, Volume 9
Volume 9, Number 1, February 2023
- Amitangshu Pal, Junbo Wang
, Yilang Wu, Krishna Kant, Zhi Liu, Kento Sato:
Social Media Driven Big Data Analysis for Disaster Situation Awareness: A Tutorial. 1-21 - Tong Liu, Jinzhen Wang, Qing Liu, Shakeel Alibhai, Tao Lu, Xubin He:
High-Ratio Lossy Compression: Exploring the Autoencoder to Compress Scientific Data. 22-36 - Lianpeng Qiao, Rong-Hua Li, Zhiwei Zhang, Ye Yuan, Guoren Wang, Hongchao Qin:
Maximal Quasi-Cliques Mining in Uncertain Graphs. 37-50 - Farhad Farokhi:
Noiseless Privacy: Definition, Guarantees, and Applications. 51-62 - Gan Sun, Yang Cong, Changjun Gu, Xu Tang, Zhengming Ding, Haibin Yu:
Hierarchical Lifelong Machine Learning With "Watchdog". 63-74 - Ziheng Chen, Tianyang Xu, Xiaojun Wu, Rui Wang, Josef Kittler:
Hybrid Riemannian Graph-Embedding Metric Learning for Image Set Classification. 75-92 - Yangwen Yu, Victor O. K. Li, Jacqueline C. K. Lam:
Hierarchical Recovery of Missing Air Pollution Data via Improved Long-Short Term Context Encoder Network. 93-105 - Wenqiang Cui, Girts Strazdins, Hao Wang:
Visual Analysis of Multidimensional Big Data: A Scalable Lightweight Bundling Method for Parallel Coordinates. 106-117 - Yupei Zhang, Rui An, Shuhui Liu, Jiaqi Cui, Xuequn Shang:
Predicting and Understanding Student Learning Performance Using Multi-Source Sparse Attention Convolutional Neural Networks. 118-132 - Ziyi Kou, Daniel Yue Zhang, Lanyu Shang, Dong Wang:
What and Why? Towards Duo Explainable Fauxtography Detection Under Constrained Supervision. 133-146 - Hameeza Ahmed, Muhammad Ali Ismail:
A Structured Approach Towards Big Data Identification. 147-159 - Hao Zhou, Geng Yang, Yang Xiang, Yunlu Bai, Weiya Wang:
A Lightweight Matrix Factorization for Recommendation With Local Differential Privacy in Big Data. 160-173 - Chao Wang, Shuo Wang, Xiaoman Cheng, Yunhua He, Ke Xiao, Shujia Fan:
A Privacy and Efficiency-Oriented Data Sharing Mechanism for IoTs. 174-185 - Ziyue Qiao, Yanjie Fu, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Denghui Zhang, Yi Du, Yuanchun Zhou:
RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training. 186-199 - Ye Yuan, Yong Zhang, Boyue Wang, Yuan Peng, Yongli Hu, Baocai Yin:
STGAN: Spatio-Temporal Generative Adversarial Network for Traffic Data Imputation. 200-211 - Zhu Wang, Zilong Wang, Xiaona Li, Zhiwen Yu, Bin Guo, Liming Chen, Xingshe Zhou:
Exploring Multi-Dimension User-Item Interactions With Attentional Knowledge Graph Neural Networks for Recommendation. 212-226 - Wenjing Li, Haoran Zhang, Jinyu Chen, Peiran Li, Yuhao Yao, Xiaodan Shi, Mariko Shibasaki, Hill Hiroki Kobayashi, Xuan Song, Ryosuke Shibasaki:
Metagraph-Based Life Pattern Clustering With Big Human Mobility Data. 227-240 - Qi Zheng, Yaying Zhang:
DSTAGCN: Dynamic Spatial-Temporal Adjacent Graph Convolutional Network for Traffic Forecasting. 241-253 - Shunxin Xiao, Shiping Wang, Wenzhong Guo:
SGAE: Stacked Graph Autoencoder for Deep Clustering. 254-266 - Fabian Groh, Lukas Ruppert, Patrick Wieschollek, Hendrik P. A. Lensch:
GGNN: Graph-Based GPU Nearest Neighbor Search. 267-279 - Zijun Yao, Deguang Kong, Miao Lu, Xiao Bai, Jian Yang, Hui Xiong:
Multi-View Multi-Task Campaign Embedding for Cold-Start Conversion Rate Forecasting. 280-293 - Chen Yang, Zhihui Du, Xiaofeng Meng, Xukang Zhang, Xinli Hao, David A. Bader:
Anomaly Detection in Catalog Streams. 294-311 - Xiushan Nie, Xingbo Liu, Jie Guo, Letian Wang, Yilong Yin:
Supervised Discrete Multiple-Length Hashing for Image Retrieval. 312-327 - Dexian Wang, Tianrui Li, Ping Deng, Jia Liu, Wei Huang, Fan Zhang:
A Generalized Deep Learning Algorithm Based on NMF for Multi-View Clustering. 328-340 - Pei-Pei Li, Yingying Liu, Yang Hu, Yuhong Zhang, Xuegang Hu, Kui Yu:
A Drift-Sensitive Distributed LSTM Method for Short Text Stream Classification. 341-357 - Peng Fang, Fang Wang, Zhan Shi, Hong Jiang, Dan Feng, Xianghao Xu, Wei Yin:
How to Realize Efficient and Scalable Graph Embeddings via an Entropy-Driven Mechanism. 358-371 - Mykola Servetnyk, Carrson C. Fung:
Distributed Dual Averaging Based Data Clustering. 372-379 - Heng Chang, Jun Guo, Wenwu Zhu:
Rethinking Embedded Unsupervised Feature Selection: A Simple Joint Approach. 380-387
Volume 9, Number 2, April 2023
- Naila Azam, Anna Lito Michala, Shuja Ansari, Nguyen Binh Truong:
Data Privacy Threat Modelling for Autonomous Systems: A Survey From the GDPR's Perspective. 388-414 - Xiao Wang, Deyu Bo, Chuan Shi, Shaohua Fan, Yanfang Ye, Philip S. Yu:
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources. 415-436 - Zhifeng Jiang, Wei Wang, Bo Li, Qiang Yang:
Towards Efficient Synchronous Federated Training: A Survey on System Optimization Strategies. 437-454 - Xin Sun, Zenghui Song, Yongbo Yu, Junyu Dong, Claudia Plant, Christian Böhm:
Network Embedding via Deep Prediction Model. 455-470 - Pengfei Zhang, Xiang Cheng, Sen Su, Binyuan Zhu:
PrivTDSI: A Local Differentially Private Approach for Truth Discovery via Sampling and Inference. 471-484 - Xin Liang, Kai Zhao, Sheng Di, Sihuan Li, Robert Underwood, Ali Murat Gok, Jiannan Tian, Junjing Deng, Jon C. Calhoun, Dingwen Tao, Zizhong Chen, Franck Cappello:
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors. 485-498 - Xue Chen, Cheng Wang, Jipeng Cui, Qing Yang, Teng Hu, Changjun Jiang:
Incorporating Prior Knowledge in Local Differentially Private Data Collection for Frequency Estimation. 499-511 - Chunkai Zhang, Quanjian Dai, Zilin Du, Wensheng Gan, Jian Weng, Philip S. Yu:
TUSQ: Targeted High-Utility Sequence Querying. 512-527 - Yong Zhang, Xiulan Wei, Xinyu Zhang, Yongli Hu, Baocai Yin:
Self-Attention Graph Convolution Residual Network for Traffic Data Completion. 528-541 - Kejie Xu, Peifang Deng, Hong Huang:
Mining Hierarchical Information of CNNs for Scene Classification of VHR Remote Sensing Images. 542-554 - Zhaolong Ling, Bo Li, Yiwen Zhang, Qingren Wang, Kui Yu, Xindong Wu:
Causal Feature Selection With Efficient Spouses Discovery. 555-568 - Kun Guo, Zhanhong Chen, Xu Lin, Ling Wu, Zhi-Hui Zhan, Yuzhong Chen, Wenzhong Guo:
Community Detection Based on Multiobjective Particle Swarm Optimization and Graph Attention Variational Autoencoder. 569-583 - Yuanyi Chen, Peng Yu, Wenwang Chen, Zengwei Zheng, Minyi Guo:
Meta-Learning Based Classification for Moving Object Trajectories in Mobile IoT. 584-596 - Guowei Yue, Rui Xiao, Zhongying Zhao, Chao Li:
AF-GCN: Attribute-Fusing Graph Convolution Network for Recommendation. 597-607 - Vinayak Gupta, Srikanta Bedathur:
Modeling Spatial Trajectories Using Coarse-Grained Smartphone Logs. 608-620 - Yujing Sun, Hao Xiong, Siu Ming Yiu, Kwok-Yan Lam:
BitAnalysis: A Visualization System for Bitcoin Wallet Investigation. 621-636 - Unho Choi, Kyungyong Lee:
Dense or Sparse : Elastic SPMM Implementation for Optimal Big-Data Processing. 637-652 - Jianxiong Guo, Yapu Zhang, Weili Wu:
An Overall Evaluation on Benefits of Competitive Influence Diffusion. 653-664 - Ningchao Ge, Zheng Qin, Peng Peng, Mingdao Li, Lei Zou, Keqin Li:
A Cost-Driven Top-K Queries Optimization Approach on Federated RDF Systems. 665-676 - Zhigao Zheng, Xuanhua Shi, Hai Jin:
Parallel Overlapping Community Detection Algorithm on GPU. 677-687 - Xiuli Bi, Jinwu Hu, Bin Xiao, Weisheng Li, Xinbo Gao:
IEMask R-CNN: Information-Enhanced Mask R-CNN. 688-700 - Tarique Anwar, Surya Nepal, Cécile Paris, Jian Yang, Jia Wu, Quan Z. Sheng:
Tracking the Evolution of Clusters in Social Media Streams. 701-715 - Haobing Liu, Yanmin Zhu, Chunyang Wang, Jianyu Ding, Jiadi Yu, Feilong Tang:
Incorporating Heterogeneous User Behaviors and Social Influences for Predictive Analysis. 716-732 - Songnian Zhang, Suprio Ray, Rongxing Lu, Yandong Zheng:
Efficient Learned Spatial Index With Interpolation Function Based Learned Model. 733-745 - Shiqi Wang, Chongming Gao, Min Gao, Junliang Yu, Zongwei Wang, Hongzhi Yin:
Who are the Best Adopters? User Selection Model for Free Trial Item Promotion. 746-757 - Cheng Wang, Hangyu Zhu, Ruixin Hu, Rui Li, Changjun Jiang:
LongArms: Fraud Prediction in Online Lending Services Using Sparse Knowledge Graph. 758-772
Volume 9, Number 3, June 2023
- Damian A. Tamburri, Vincent R. van Mierlo, Willem-Jan van den Heuvel:
Big Data for the Social Good: The Drought Early-Warning Experience Report. 773-791 - Wei Huang, Jia Liu, Tianrui Li, Shenggong Ji, Dexian Wang, Tianqiang Huang:
FedCKE: Cross-Domain Knowledge Graph Embedding in Federated Learning. 792-804 - Chang Xu, Ruijuan Wang, Liehuang Zhu, Chuan Zhang, Rongxing Lu, Kashif Sharif:
Efficient Strong Privacy-Preserving Conjunctive Keyword Search Over Encrypted Cloud Data. 805-817 - Sabrina De Capitani di Vimercati, Dario Facchinetti, Sara Foresti, Giovanni Livraga, Gianluca Oldani, Stefano Paraboschi, Matthew Rossi, Pierangela Samarati:
Scalable Distributed Data Anonymization for Large Datasets. 818-831 - Dongjie Wang, Kunpeng Liu, Hui Xiong, Yanjie Fu:
Online POI Recommendation: Learning Dynamic Geo-Human Interactions in Streams. 832-844 - Weihua Xu, Yanzhou Pan, Xiuwei Chen, Weiping Ding, Yuhua Qian:
A Novel Dynamic Fusion Approach Using Information Entropy for Interval-Valued Ordered Datasets. 845-859 - Pengfei Zhang, Xiang Cheng, Sen Su, Ning Wang:
Task Allocation Under Geo-Indistinguishability via Group-Based Noise Addition. 860-877 - Shuai Gao, Zhongbao Zhang, Sen Su:
DAWN: Domain Generalization Based Network Alignment. 878-888 - Minzhi Chen, Chunlin He, Xin Luo:
MNL: A Highly-Efficient Model for Large-scale Dynamic Weighted Directed Network Representation. 889-903 - Yu-Xuan Qiu, Dong Wen, Rong-Hua Li, Lu Qin, Michael Yu, Xuemin Lin:
Computing Significant Cliques in Large Labeled Networks. 904-917 - Mingdao Li, Peng Peng, Zhen Tian, Zheng Qin, Zheng Huang, Yi Liu:
Optimizing Keyword Search Over Federated RDF Systems. 918-935 - Yushu Zhang, Zhibin Fu, Shuren Qi, Mingfu Xue, Zhongyun Hua, Yong Xiang:
Localization of Inpainting Forgery With Feature Enhancement Network. 936-948 - Huizhang Luo, Junqi Wang, Zhenlu Qin, Dan Huang, Qing Liu, Mengchu Zhou, Hong Jiang:
A Data-driven Approach to Harvesting Latent Reduced Models to Precondition Lossy Compression for Scientific Data. 949-963 - Wenbo Jiang, Hongwei Li, Guowen Xu, Tianwei Zhang, Rongxing Lu:
Physical Black-Box Adversarial Attacks Through Transformations. 964-974 - Ioannis Mavroudopoulos, Anastasios Gounaris:
SIESTA: A Scalable Infrastructure of Sequential Pattern Analysis. 975-990 - Furong Zheng, Juanjuan Zhao, Jiexia Ye, Xitong Gao, Kejiang Ye, Cheng-Zhong Xu:
Metro OD Matrix Prediction Based on Multi-View Passenger Flow Evolution Trend Modeling. 991-1003 - Jia-Quan Yang, Qi-Te Yang, Ke-Jing Du, Chun-Hua Chen, Hua Wang, Sang-Woon Jeon, Jun Zhang, Zhi-Hui Zhan:
Bi-Directional Feature Fixation-Based Particle Swarm Optimization for Large-Scale Feature Selection. 1004-1017
Volume 9, Number 4, August 2023
- Guodao Sun, Zihao Zhu, Gefei Zhang, Chaoqing Xu, Yunchao Wang, Sujia Zhu, Baofeng Chang, Ronghua Liang:
Application of Mathematical Optimization in Data Visualization and Visual Analytics: A Survey. 1018-1037 - Mengxiao Zhang, Fernando Beltrán, Jiamou Liu:
A Survey of Data Pricing for Data Marketplaces. 1038-1056 - Yujie Feng, Jiangtao Wang, Yasha Wang, Xu Chu:
Spatial-Attention and Demographic-Augmented Generative Adversarial Imputation Network for Population Health Data Reconstruction. 1057-1070 - Thomas Weripuo Gyeera, Anthony J. H. Simons, Mike Stannett:
Regression Analysis of Predictions and Forecasts of Cloud Data Center KPIs Using the Boosted Decision Tree Algorithm. 1071-1085 - Hongjian Li, Jianglin Xia, Wei Luo, Hai Fang:
Cost-Efficient Scheduling of Streaming Applications in Apache Flink on Cloud. 1086-1101 - Xing Tian, Wing W. Y. Ng, Huihui Xu:
Deep Incremental Hashing for Semantic Image Retrieval With Concept Drift. 1102-1115 - Pengbo Li, Hang Yu, Xiangfeng Luo, Jia Wu:
LGM-GNN: A Local and Global Aware Memory-Based Graph Neural Network for Fraud Detection. 1116-1127 - Yimin Liu, Xiangyang Luo, Zhiyuan Tao, Meng Zhang, Shaoyong Du:
UGCC: Social Media User Geolocation via Cyclic Coupling. 1128-1141 - Mohammad Sultan Mahmud, Joshua Zhexue Huang, Rukhsana Ruby, Alladoumbaye Ngueilbaye, Kaishun Wu:
Approximate Clustering Ensemble Method for Big Data. 1142-1155 - Chenchu Xu, Yuan Yang, Zhiqiang Xia, Boyan Wang, Dong Zhang, Yanping Zhang, Shu Zhao:
Dual Uncertainty-Guided Mixing Consistency for Semi-Supervised 3D Medical Image Segmentation. 1156-1170 - Kun Hao, Junchang Xin, Zhiqiong Wang, Zhongming Yao, Guoren Wang:
Efficient and Secure Data Sharing Scheme on Interoperable Blockchain Database. 1171-1185 - Yanbei Liu, Shichuan Zhao, Xiao Wang, Lei Geng, Zhitao Xiao, Jerry Chun-Wei Lin:
Self-Consistent Graph Neural Networks for Semi-Supervised Node Classification. 1186-1197 - Jiachen Zhao, Fang Deng, Jiaqi Zhu, Jie Chen:
Searching Density-Increasing Path to Local Density Peaks for Unsupervised Anomaly Detection. 1198-1209 - Mengran Li, Yong Zhang, Wei Zhang, Yi Chu, Yongli Hu, Baocai Yin:
Self-Supervised Nodes-Hyperedges Embedding for Heterogeneous Information Network Learning. 1210-1224 - Zhenya Wang, Xiang Cheng, Sen Su, Jintao Liang, Haocheng Yang:
ATLAS: GAN-Based Differentially Private Multi-Party Data Sharing. 1225-1237 - Zhigang Kan, Linhui Feng, Zhangyue Yin, Linbo Qiao, Xipeng Qiu, Dongsheng Li:
A Composable Generative Framework Based on Prompt Learning for Various Information Extraction Tasks. 1238-1251 - Hao Chen, Yu Ye, Ming Xiao, Mikael Skoglund:
Asynchronous Parallel Incremental Block-Coordinate Descent for Decentralized Machine Learning. 1252-1259
Volume 9, Number 5, October 2023
- Anna Schmedding, Riccardo Pinciroli, Lishan Yang, Evgenia Smirni:
Epidemic Spread Modeling for COVID-19 Using Cross-Fertilization of Mobility Data. 1260-1275 - Fulan Qian, Bei Yuan, Hai Chen, Jie Chen, Defu Lian, Shu Zhao:
Enhancing the Transferability of Adversarial Examples Based on Nesterov Momentum for Recommendation Systems. 1276-1287 - Yao Li, Duo Qiu, Xiongjun Zhang:
Robust Low Transformed Multi-Rank Tensor Completion With Deep Prior Regularization for Multi-Dimensional Image Recovery. 1288-1301 - Huanyu Chen, Weisheng Li, Xinbo Gao, Bin Xiao:
Novel Multi-Feature Fusion Facial Aesthetic Analysis Framework. 1302-1320 - Shuai Wang, Shijie Hu, Baoshen Guo, Guang Wang:
Cross-Region Courier Displacement for On-Demand Delivery With Multi-Agent Reinforcement Learning. 1321-1333 - Qiming Yang, Qi Zhu, Mingming Wang, Wei Shao, Zheng Zhang, Daoqiang Zhang:
Self-Supervised Federated Adaptation for Multi-Site Brain Disease Diagnosis. 1334-1346 - Yangwen Yu, Victor O. K. Li, Jacqueline C. K. Lam, Kelvin Chan:
GCN-ST-MDIR: Graph Convolutional Network-Based Spatial-Temporal Missing Air Pollution Data Pattern Identification and Recovery. 1347-1364 - Zijian Liu, Yang Luo, Xitong Pu, Geyong Min, Chunbo Luo:
A Multi-Modal Hypergraph Neural Network via Parametric Filtering and Feature Sampling. 1365-1379 - Zongshun Zhang, Andrea Pinto, Valeria Turina, Flavio Esposito, Ibrahim Matta:
Privacy and Efficiency of Communications in Federated Split Learning. 1380-1391 - Weichao Liang, Jie Cao, Lei Chen, Youquan Wang, Jia Wu, Amin Beheshti, Jiangnan Tang:
Crime Prediction With Missing Data Via Spatiotemporal Regularized Tensor Decomposition. 1392-1407 - Zhuzhu Wang, Cui Hu, Bin Xiao, Yang Liu, Teng Li, Zhuo Ma, Jianfeng Ma:
Outsourced Privacy-Preserving Data Alignment on Vertically Partitioned Database. 1408-1419 - Zhen Liu, Wenbo Zuo, Dongning Zhang, Xiaodong Feng:
RGSE: Robust Graph Structure Embedding for Anomalous Link Detection. 1420-1429 - Balázs Pejó, Gergely Biczók:
Quality Inference in Federated Learning With Secure Aggregation. 1430-1437
Volume 9, Number 6, December 2023
- T. H. Akila S. Siriweera, Incheon Paik, Huawei Huang:
Constraint-Driven Complexity-Aware Data Science Workflow for AutoBDA. 1438-1457 - Dongpan Chen, Dehui Kong, Jinghua Li, Shaofan Wang, Baocai Yin:
A Survey of Visual Affordance Recognition Based on Deep Learning. 1458-1476 - Rui Song, Bin Xiao, Yubo Song, Songtao Guo, Yuanyuan Yang:
A Survey of Blockchain-Based Schemes for Data Sharing and Exchange. 1477-1495 - Jun Yang, Yaoru Sun, Maoyu Mao, Lizhi Bai, Siyu Zhang, Fang Wang:
Model-Agnostic Method: Exposing Deepfake Using Pixel-Wise Spatial and Temporal Fingerprints. 1496-1509 - Jie Song, Xingchen Zhao, Chaopeng Guo, Yu Gu, Ge Yu:
Towards an Energy Complexity Model for Distributed Data Processing Algorithms. 1510-1524 - Jianli Huang, Xianjie Guo, Kui Yu, Fuyuan Cao, Jiye Liang:
Towards Privacy-Aware Causal Structure Learning in Federated Setting. 1525-1535 - Qinpei Zhao, Guangda Yang, Kai Zhao, Jiaming Yin, Weixiong Rao, Lei Chen:
Multivariate Time-Series Forecasting Model: Predictability Analysis and Empirical Study. 1536-1548 - Qian Li, Shu Guo, Jia Wu, Jianxin Li, Jiawei Sheng, Hao Peng, Lihong Wang:
Event Extraction by Associating Event Types and Argument Roles. 1549-1560 - Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters:
Personalized Interventions to Increase the Employment Success of People With Disability. 1561-1574 - Qi Zhu, Qiming Yang, Mingming Wang, Xiangyu Xu, Yuwu Lu, Wei Shao, Daoqiang Zhang:
Multi-Discriminator Active Adversarial Network for Multi-Center Brain Disease Diagnosis. 1575-1585 - Shu Zhao, Wenyu Wang, Ziwei Du, Jie Chen, Zhen Duan:
A Black-Box Adversarial Attack Method via Nesterov Accelerated Gradient and Rewiring Towards Attacking Graph Neural Networks. 1586-1597 - Zhuang Yang:
Adaptive Powerball Stochastic Conjugate Gradient for Large-Scale Learning. 1598-1606 - Chenxu Wang, Fuli Feng, Yang Zhang, Qifan Wang, Xunhan Hu, Xiangnan He:
Rethinking Missing Data: Aleatoric Uncertainty-Aware Recommendation. 1607-1619 - Feng Han, Chengcai Leng, Bing Li, Anup Basu, Licheng Jiao:
Cosine Multilinear Principal Component Analysis for Recognition. 1620-1630 - Yixiu Qin, Yizhao Wang, Jiawei Li, Shun Mao, He Wang, Yuncheng Jiang:
Improved Box Embeddings for Fine-Grained Entity Typing. 1631-1642 - Xiaosai Huang, Jing Li, Jia Wu, Jun Chang, Donghua Liu:
Transfer Learning With Document-Level Data Augmentation for Aspect-Level Sentiment Classification. 1643-1657 - Wenjing Li, Xiaodan Shi, Dou Huang, Xudong Shen, Jinyu Chen, Hill Hiroki Kobayashi, Haoran Zhang, Xuan Song, Ryosuke Shibasaki:
PredLife: Predicting Fine-Grained Future Activity Patterns. 1658-1669 - Chien-Tse Cheng, Yu-Hsun Lin, Chung-Shou Liao:
Seq2CASE: Weakly Supervised Sequence to Commentary Aspect Score Estimation for Recommendation. 1670-1682 - Siyu Yi, Zhengyang Mao, Wei Ju, Yong-Dao Zhou, Luchen Liu, Xiao Luo, Ming Zhang:
Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts. 1683-1696 - Junfu Wang, Yuanfang Guo, Liang Yang, Yunhong Wang:
Enabling Homogeneous GNNs to Handle Heterogeneous Graphs via Relation Embedding. 1697-1710 - Xovee Xu, Zhiyuan Wang, Qiang Gao, Ting Zhong, Bei Hui, Fan Zhou, Goce Trajcevski:
Spatial-Temporal Contrasting for Fine-Grained Urban Flow Inference. 1711-1725 - Zhifei Ding, Jiahao Han, Rongtao Qian, Liming Shen, Siru Chen, Lingxin Yu, Yu Zhu, Richen Liu:
eBoF: Interactive Temporal Correlation Analysis for Ensemble Data Based on Bag-of-Features. 1726-1737
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