default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID24th ICDM 2024: Abu Dhabi, UAE
- Elena Baralis, Kun Zhang, Ernesto Damiani, Mérouane Debbah, Panos Kalnis, Xindong Wu:
IEEE International Conference on Data Mining, ICDM 2024, Abu Dhabi, United Arab Emirates, December 9-12, 2024. IEEE 2024, ISBN 979-8-3315-0668-1 - Mubarak G. Abdu-Aguye, Muhammad Zaigham Zaheer, Karthik Nandakumar:
Feature Map Purification for Enhancing Adversarial Robustness of Deep Timeseries Classifiers. 1-10 - Lakpa Dorje Tamang, Mohamed Reda Bouadjenek, Richard Dazeley, Sunil Aryal:
Margin-Bounded Confidence Scores for Out-of-Distribution Detection. 1-10 - Bang An, Xun Zhou, Amin Vahedian, W. Nick Street, Jinping Guan, Jun Luo:
LISA: Learning-Integrated Space Partitioning Framework for Traffic Accident Forecasting on Heterogeneous Spatiotemporal Data. 11-20 - Alexandra Bazarova, Evgenia Romanenkova, Alexey Zaytsev:
Normalizing Self-Supervised Learning for Provably Reliable Change Point Detection. 21-30 - Cristian Boldrin, Fabio Vandin:
Fast and Accurate Triangle Counting in Graph Streams Using Predictions. 31-40 - Jiangwen Chen, Kou Guang, Huang Yan, Qiyang Li, Tan Hao:
Graph Contrastive Learning with Adversarial Structure Refinement (GCL-ASR). 41-50 - Jiazhen Chen, Sichao Fu, Zhibin Zhang, Zheng Ma, Mingbin Feng, Tony S. Wirjanto, Qinmu Peng:
Towards Cross-Domain Few-Shot Graph Anomaly Detection. 51-60 - Man-Sheng Chen, Xiaosha Cai, Chang-Dong Wang, Dong Huang, Min Chen, Mohsen Guizani:
HomoMGC: Homophily-Enhanced Adaptive Graph Refinement for Multi-View Graph Clustering. 61-70 - Qingfeng Chen, Boquan Wei, Debo Cheng, Jiuyong Li, Lin Liu, Shichao Zhang:
A Novel Shadow Variable Catcher for Addressing Selection Bias in Recommendation Systems. 71-80 - Alice Dethise, Marco Canini:
Continuous Exact Explanations of Neural Networks. 81-90 - Guangwei Dong, Xuexiong Luo, Jing Du, Jia Wu, Shan Xue, Jian Yang, Amin Beheshti:
Counterfactual Brain Graph Augmentation Guided Bi-Level Contrastive Learning for Disorder Analysis. 91-100 - Ulugbek Ergashev, Geon Lee, Kijung Shin, Eduard C. Dragut, Weiyi Meng:
Resource2Box: Learning To Rank Resources in Distributed Search Using Box Embedding. 101-110 - Shintaro Fukushima, Kenji Yamanishi:
Graph Community Augmentation with GMM-Based Modeling in Latent Space. 111-120 - Venus Haghighi, Behnaz Soltani, Nasrin Shabani, Jia Wu, Yang Zhang, Lina Yao, Quan Z. Sheng, Jian Yang:
TROPICAL: Transformer-Based Hypergraph Learning for Camouflaged Fraudster Detection. 121-130 - Shujie Han, Zirui Ou, Qun Huang, Patrick P. C. Lee:
Scaling Disk Failure Prediction via Multi-Source Stream Mining. 131-140 - Wei Huang, Hanchen Wang, Dong Wen, Xuefeng Chen, Wenjie Zhang, Ying Zhang:
GQ*: Towards Generalizable Deep Q-Learning for Steiner Tree in Graphs. 141-150 - Pak Lon Ip, Shenghui Zhang, Xuekai Wei, Tsz Nam Chan, Leong Hou U:
HFGNN: Efficient Graph Neural Networks Using Hub-Fringe Structures. 151-160 - Pengfei Jiao, Xinxun Zhang, Mengzhou Gao, Tianpeng Li, Zhidong Zhao:
Informative Subgraphs Aware Masked Auto-Encoder in Dynamic Graphs. 161-170 - Jihoon Ko, Taehyung Kwon, Jinhong Jung, Kijung Shin:
ELiCiT: Effective and Lightweight Lossy Compression of Tensors. 171-180 - Alejandro Kuratomi, Zed Lee, Panayiotis Tsaparas, Guilherme Dinis Junior, Evaggelia Pitoura, Tony Lindgren, Panagiotis Papapetrou:
CounterFair: Group Counterfactuals for Bias Detection, Mitigation and Subgroup Identification. 181-190 - Kai-Huang Lai, Wu-Dong Xi, Xing-Xing Xing, Wei Wan, Chang-Dong Wang, Min Chen, Mohsen Guizani:
RecCoder: Reformulating Sequential Recommendation as Large Language Model-Based Code Completion. 191-200 - Zhen Li, Jibin Wang, Zhuo Chen, Kun Wu, Yuanzhen Wei, Hai Huang:
Adaptive Graph Neural Networks for Cold-Start Multimedia Recommendation. 201-210 - Ling Li, Wiktor Zuba, Grigorios Loukides, Solon P. Pissis, Maria Matsangidou:
Scalable Order-Preserving Pattern Mining. 211-220 - Dong Li, Zhicong Liu, Mingfeng Hu, Baoyan Song, Xiaohuan Shan:
GADIN: Generative Adversarial Denoise Imputation Network for Incomplete Data. 221-230 - Peiyan Li, Honglian Wang, Christian Böhm:
Scalable Graph Classification via Random Walk Fingerprints. 231-240 - Heng Lian, Yu Huang, Xingquan Zhu, Yi He:
Utilitarian Online Learning from Open-World Soft Sensing. 241-250 - Fei-Yao Liang, Wu-Dong Xi, Xing-Xing Xing, Wei Wan, Chang-Dong Wang, Min Chen, Mohsen Guizani:
Contrastive Learning for Adapting Language Model to Sequential Recommendation. 251-260 - Zhidan Liu, Jinye Lin, Zhiyu Xia, Chao Chen, Kaishun Wu:
Towards Efficient Ridesharing via Order-Vehicle Pre-Matching Using Attention Mechanism. 261-270 - Yuhang Liu, Yingxue Zhang, Xin Zhang, Yu Yang, Yiqun Xie, Sahar Ghanipoor Machiani, Yanhua Li, Jun Luo:
Align Along Time and Space: A Graph Latent Diffusion Model for Traffic Dynamics Prediction. 271-280 - Kangyang Luo, Shuai Wang, Yexuan Fu, Renrong Shao, Xiang Li, Yunshi Lan, Ming Gao, Jinlong Shu:
DFDG: Data-Free Dual-Generator Adversarial Distillation for One-Shot Federated Learning. 281-290 - Yan Luo, Zhichao Zuo, Zhao Zhang, Zhongqiu Zhao, Haijun Zhang, Richang Hong:
High-Fidelity Diffusion Editor for Zero-Shot Text-Guided Video Editing. 291-300 - Liang-Chen Ma, Ya Li, Zi-Feng Mai, Fei-Yao Liang, Chang-Dong Wang, Min Chen, Mohsen Guizani:
Cross-Store Next-Basket Recommendation. 301-310 - Chaohong Ma, Xiaohui Yu, Yifan Li, Aishan Maoliniyazi, Xiaofeng Meng:
A Learned Approach to Index Algorithm Selection. 311-320 - Caihong Mu, Yunfei Fang, Jialiang Zhou, Yi Liu:
Enhancing Embeddings Quality with Stacked Gate for Click-Through Rate Prediction. 321-329 - Dang Nguyen, Sunil Gupta, Kien Do, Thin Nguyen, Svetha Venkatesh:
Generating Realistic Tabular Data with Large Language Models. 330-339 - Duy A. Nguyen, Trang H. Tran, Huy Hieu Pham, Phi Le Nguyen, Lam M. Nguyen:
Improving Time Series Encoding with Noise-Aware Self-Supervised Learning and an Efficient Encoder. 340-349 - Zhenyu Nie, Zheng Xiao, Huizhang Luo, Xuan Liu, Anthony Theodore Chronopoulos:
Hierarchical Explanations for Text Classification Models: Fast and Effective. 350-359 - Bastian Oetomo, R. Malinga Perera, Renata Borovica-Gajic, Benjamin I. P. Rubinstein:
Warm-Starting Contextual Bandits Under Latent Reward Scaling. 360-369 - Hrishikesh Patel, Ruihong Qiu, Adam Irwin, Shazia Sadiq, Sen Wang:
EMIT - Event-Based Masked Auto Encoding for Irregular Time Series. 370-379 - Matthew Pietrosanu, Bei Jiang, Linglong Kong:
A Bayesian Hierarchical Model for Orthogonal Tucker Decomposition with Oblivious Tensor Compression. 380-389 - Tianle Pu, Chao Chen, Li Zeng, Shixuan Liu, Rui Sun, Changjun Fan:
Solving Combinatorial Optimization Problem Over Graph Through QUBO Transformation and Deep Reinforcement Learning. 390-399 - Li Qian, Jing Qian, Xin Sun, Wengang Guo, Christian Böhm:
ADOD: Adaptive Density Outlier Detection. 400-409 - Yiran Qiao, Yateng Tang, Xiang Ao, Qi Yuan, Ziming Liu, Chen Shen, Xuehao Zheng:
Financial Risk Assessment via Long-term Payment Behavior Sequence Folding. 410-419 - Rayhanur Rahman, Brandon Wroblewski, Quinn Matthews, Brantley Morgan, Timothy Menzies, Laurie A. Williams:
ChronoCTI: Mining Knowledge Graph of Temporal Relations Among Cyberattack Actions. 420-429 - Jin Shang, Yang Jiao, Chenghuan Guo, Minghao Sun, Yan Gao, Jia Liu, Michinari Momma, Itetsu Taru, Yi Sun:
Transitivity-Encoded Graph Attention Networks for Complementary Item Recommendations. 430-439 - Giuseppe Squillace, Mirco Tribastone, Max Tschaikowski, Andrea Vandin:
Efficient Network Embedding by Approximate Equitable Partitions. 440-449 - Xing Su, Jian Yang, Jia Wu, Zitai Qiu:
Debunking Fake News in Online Social Networks Without Text Analysis. 450-459 - Yongquan Wan, Erhe Yang, Cairong Yan, Guobing Zou, Bofeng Zhang:
TAN: A Tripartite Alignment Network Enhancing Composed Image Retrieval with Momentum Distillation. 470-479 - Ruida Wang, Raymond Chi-Wing Wong, Weile Tan:
SR-PredictAO: Session-Based Recommendation with High-Capability Predictor Add-On. 480-489 - Xinzhi Wang, Mengyue Li, Nengjun Zhu, Jiayan Qian, Zhanyi Zheng:
Early Fire Detection Based on Local Morphological Knowledge Matching. 490-499 - Zhengru Wang, Xin Wang, Shuhao Zhang:
MOStream: A Modular and Self-Optimizing Data Stream Clustering Algorithm. 500-509 - Yejing Wang, Dong Xu, Xiangyu Zhao, Zhiren Mao, Peng Xiang, Ling Yan, Yao Hu, Zijian Zhang, Xuetao Wei, Qidong Liu:
Bi-Level User Modeling for Deep Recommenders. 510-519 - Yanan Xiao, XiangLin Li, Lu Jiang, Pengfei Wang, Kaidi Wang, Na Luo:
Towards Dynamic University Course Timetabling Problem: An Automated Approach Augmented via Reinforcement Learning. 520-529 - Honghui Xu, Wei Li, Shaoen Wu, Liang Zhao, Zhipeng Cai:
APOLLO: Differential Private Online Multi-Sensor Data Prediction with Certified Performance. 530-539 - Boyi Yang, Liangxiao Jiang, Wenjun Zhang:
Probabilistic Matrix Factorization-based Three-stage Label Completion for Crowdsourcing. 540-549 - Haoyu Yang, Michael S. Steinbach, Genevieve B. Melton, Vipin Kumar, György J. Simon:
Combining Self-Supervision and Privileged Information for Representation Learning from Tabular Data. 550-559 - Yin-Fang Yang, Wei Tang, Min-Ling Zhang:
PROMIPL: A Probabilistic Generative Model for Multi-Instance Partial-Label Learning. 560-569 - Raneen Younis, Zahra Ahmadi:
HyperTime: A Dynamic Hypergraph Approach for Time Series Classification. 570-579 - Runlong Yu, Chonghao Qiu, Robert Ladwig, Paul C. Hanson, Yiqun Xie, Yanhua Li, Xiaowei Jia:
Adaptive Process-Guided Learning: An Application in Predicting Lake DO Concentrations. 580-589 - Xiaoshan Yu, Chuan Qin, Qi Zhang, Chen Zhu, Haiping Ma, Xingyi Zhang, Hengshu Zhu:
DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation. 590-599 - Alexey Zaytsev, Maria Kovaleva, Alex Natekin, Evgeni Vorsin, Valerii Smirnov, Georgii Smirnov, Oleg Sidorshin, Alexander Senin, Alexander Dudin, Dmitry Berestnev:
Designing an Attack-Defense Game: How to Increase the Robustness of Financial Transaction Models Via a Competition. 600-609 - Zhao Zhang, Yan Luo, Zhichao Zuo, Richang Hong, Yi Yang, Meng Wang:
Emotional Synchronization for Audio-Driven Talking-Head Generation. 610-618 - Yifan Zhang, Haolong Xiang, Xuyun Zhang, Xiaolong Xu, Wei Fan, Qin Zhang, Lianyong Qi:
EEiF: Efficient Isolated Forest with e Branches for Anomaly Detection. 619-628 - Jinbiao Zhao, Zhao Zhang, Jiahuan Ren, Haijun Zhang, Zhongqiu Zhao, Meng Wang:
Dual Cross-Stage Partial Learning for Detecting Objects in Dehazed Images. 629-638 - Hang Zhou, Wentao Yu, Sheng Wan, Yongxin Tong, Tianlong Gu, Chen Gong:
Traffic Pattern Sharing for Federated Traffic Flow Prediction with Personalization. 639-648 - Jian Zhu, Yu Cui, Lei Liu, Zeyi Sun, Yuyang Dai, Xi Wang, Cheng Luo, Li-Rong Dai:
Adaptive Loss-aware Modulation for Multimedia Retrieval. 649-658 - Chuanyu Zong, Rui Fang, Mengxiang Wang, Tao Qiu, Anzhen Zhang:
Efficiently Manipulating Structural Graph Clustering Under Jaccard Similarity. 659-668 - Sahar Batmani, Parham Moradi, Narges Heidari, Mahdi Jalili:
An Explainable Recommender System by Integrating Graph Neural Networks and User Reviews. 669-674 - Anna Beer, Pascal Weber, Lukas Miklautz, Collin Leiber, Walid Durani, Christian Böhm, Claudia Plant:
SHADE: Deep Density-based Clustering. 675-680 - Amin Birashk, Sadaf Md. Halim, Latifur Khan:
Handling Non-IID Data in Federated Learning using Metaheuristic Optimization Techniques. 681-686 - Michele Craighero, Giorgio Rossi, Beatrice Rossi, Diego Carrera, Diego Stucchi, Pasqualina Fragneto, Giacomo Boracchi:
SemiFDA: Domain Adaptation in Semi-Supervised Federated Learning. 687-692 - Jamie Andrew Duell, Monika Seisenberger, Hsuan Fu, Xiuyi Fan:
QUCE: The Minimisation and Quantification of Path-Based Uncertainty for Generative Counterfactual Explanations. 693-698 - Indrajeet Ghosh, Garvit Chugh, Abu Zaher Md Faridee, Nirmalya Roy:
Unsupervised Domain Adaptation for Action Recognition via Self-Ensembling and Conditional Embedding Alignment. 699-704 - Chengkun He, Xiangmin Zhou, Chen Wang, Longbing Cao, Jie Shao, Zahir Tari:
Influence-Aware Group Recommendation for Social Media Propagation. 705-710 - Minhee Jang, Juheon Son, Thanaporn Viriyasaranon, Junho Kim, Jang Hwan Choi:
D-Cube: Exploiting Hyper-Features of Diffusion Model for Robust Medical Classification. 711-716 - Zhenhao Jiang, Jicong Fan:
DifFaiRec: Generative Fair Recommender with Conditional Diffusion Model. 717-722 - Yufei Jin, Xingquan Zhu:
Graph Rhythm Network: Beyond Energy Modeling for Deep Graph Neural Networks. 723-728 - Tugrul Hasan Karabulut, Inci M. Baytas:
Channel-Attentive Graph Neural Networks. 729-734 - Alexander Koebler, Ingo Thon, Florian Buettner:
MoRE-LLM: Mixture of Rule Experts Guided by a Large Language Model. 735-740 - Rikuto Kotoge, Zheng Chen, Tasuku Kimura, Yasuko Matsubara, Takufumi Yanagisawa, Haruhiko Kishima, Yasushi Sakurai:
SplitSEE: A Splittable Self-supervised Framework for Single-Channel EEG Representation Learning. 741-746 - Ru-Bin Li, Man-Sheng Chen, Xin-Yu Ding, Changdong Wang, Sihong Xie, Shuangyin Liu, Min Chen, Mohsen Guizani:
Periodic Prompt on Dynamic Heterogeneous Graph for Next Basket Recommendation. 747-752 - Mingchen Li, Chen Ling, Rui Zhang, Liang Zhao:
Zero-Shot Link Prediction in Knowledge Graphs with Large Language Models. 753-760 - Yunfei Li, Lu Chen, Chengfei Liu, Rui Zhou, Jianxin Li:
Enhancing Entity Alignment on Probabilistic Knowledge Graphs. 761-766 - Shuiying Liao, P. Y. Mok:
Hypergraph-Enhanced Contrastively Regularized Transformer for Multi-Behavior E-commerce Product Recommendation. 767-772 - Haowen Lin, John Krumm, Cyrus Shahabi, Li Xiong:
Controllable Visit Trajectory Generation with Spatiotemporal Constraints. 773-778 - Yang Liu, Chuan Zhou, Peng Zhang, Zhao Li, Shuai Zhang, Xixun Lin, Xindong Wu:
CL4CO: A Curriculum Training Framework for Graph-Based Neural Combinatorial Optimization. 779-784 - Shuo Liu, Di Yao, Lanting Fang, Zhetao Li, Wenbin Li, Kaiyu Feng, Xiaowen Ji, Jingping Bi:
AnomalyLLM: Few-Shot Anomaly Edge Detection for Dynamic Graphs Using Large Language Models. 785-790 - Qing Lu, Miao Hu, Di Wu, Yipeng Zhou, Mohsen Guizani, Quan Z. Sheng:
FGLBA: Enabling Highly-Effective and Stealthy Backdoor Attack on Federated Graph Learning. 791-796 - Chengsheng Mao, Liang Yao, Yuan Luo:
Towards Expressive Graph Representations for Graph Neural Networks. 797-802 - Tom Overman, Diego Klabjan, Jean Utke:
IIFE: Interaction Information Based Automated Feature Engineering. 803-808 - Yunjie Pan, Omkar Bhalerao, C. Seshadhri, Nishil Talati:
Accurate and Fast Estimation of Temporal Motifs Using Path Sampling. 809-814 - Jongmin Park, Seunghoon Han, Jong-Ryul Lee, Sungsu Lim:
Multi-Hyperbolic Space-Based Heterogeneous Graph Attention Network. 815-820 - Tianle Pu, Changjun Fan, Mutian Shen, Yizhou Lu, Li Zeng, Zohar Nussinov, Chao Chen, Zhong Liu:
Exploratory Combinatorial Optimization Problem Solving via Gauge Transformation. 821-826 - Li Qian, Claudia Plant, Yalan Qin, Jing Qian, Christian Böhm:
DynoGraph: Dynamic Graph Construction for Nonlinear Dimensionality Reduction. 827-832 - Yuting Qiang, Jianbing Zheng, Lixia Wu, Haomin Wen, Junhong Lou, Minhui Deng:
A Momentum Contrastive Learning Framework for Query-POI Matching. 833-838 - Qianying Ren, Dongsheng Luo, Dongjin Song:
Rank Supervised Contrastive Learning for Time Series Classification. 839-844 - Rohit P. Singh, Philip A. Wilsey:
Constructing $\epsilon$-Constrained Sparsified $\beta^{s}$-Complexes using Space Partitioning Trees. 845-850 - Zhizhong Tan, Min Hu, Bin Liu, Guosheng Yin:
Futures Quantitative Investment With Heterogeneous Continual Graph Neural Network. 851-856 - Kshitij Tayal, Arvind Renganathan, Xiaowei Jia, Vipin Kumar, Dan Lu:
ExoTST: Exogenous-Aware Temporal Sequence Transformer for Time Series Prediction. 857-862 - Donna Tjandra, Jenna Wiens:
Survival Analysis with Multiple Noisy Labels. 863-868 - Yuanyi Wang, Haifeng Sun, Chengsen Wang, Mengde Zhu, Jingyu Wang, Wei Tang, Qi Qi, Zirui Zhuang, Jianxin Liao:
Interdependency Matters: Graph Alignment for Multivariate Time Series Anomaly Detection. 869-874 - Song Wang, Xiaodong Yang, Rashidul Islam, Huiyuan Chen, Minghua Xu, Jundong Li, Yiwei Cai:
Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization. 875-880 - Zhibin Wang, Jiangtao Cui, Xiyue Gao, Hui Zhang, Guiqi Ren, Yixiao Liu, Hui Li, Kankan Zhao:
PC3: Enhancing Concurrency in High-Conflict Transactions with Prior Cascading Control. 881-886 - Jinyong Wen, Tao Zhang, Chunxia Zhang, Shiming Xiang, Chunhong Pan:
An Efficient Graph Autoencoder with Lightweight Desmoothing Decoder and Long-Range Modeling. 887-892 - Kexin Xu, Zhemeng Yu, Yucen Gao, Songjian Zhang, Jun Fang, Xiaofeng Gao, Guihai Chen:
MetaSTC: A Backbone Agnostic Spatio-Temporal Framework for Traffic Forecasting. 899-904 - Qimeng Yang, Shijia Wang, Da Guo, Dongjin Yu, Qiang Xiao, Dongjing Wang, Chuanjiang Luo:
Cascading Multimodal Feature Enhanced Contrast Learning for Music Recommendation. 905-910 - Chin-Chia Michael Yeh, Audrey Der, Uday Singh Saini, Vivian Lai, Yan Zheng, Junpeng Wang, Xin Dai, Zhongfang Zhuang, Yujie Fan, Huiyuan Chen, Prince Osei Aboagye, Liang Wang, Wei Zhang, Eamonn J. Keogh:
Matrix Profile for Anomaly Detection on Multidimensional Time Series. 911-916 - Leisheng Yu, Yanxiao Cai, Lucas Chen, Minxing Zhang, Wei-Yen Day, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu:
Addressing Delayed Feedback in Conversion Rate Prediction: A Domain Adaptation Approach. 917-922 - Peipei Yuan, Xinge You, Hong Chen, Xuelin Zhang, Qinmu Peng:
Generalized Sparse Additive Model with Unknown Link Function. 923-928 - Jun Yuan, Guohao Cai, Zhenghua Dong:
A Parameter Update Balancing Algorithm for Multi-task Ranking Models in Recommendation Systems. 929-934 - Chong Zhang, Mingyu Jin, Qinkai Yu, Chengzhi Liu, Haochen Xue, Xiaobo Jin:
Goal-Guided Generative Prompt Injection Attack on Large Language Models. 941-946 - Lu Zhang, Chenbo Zhang, Jihong Guan, Shuigeng Zhou:
Weakly-Supervised Graph Classification with Even a Single Key Subgraph Per Class. 947-952 - Hao Zhang, Malith Jayaweera, Bin Ren, Yanzhi Wang, Sucheta Soundarajan:
Reducing Unfairness in Distributed Community Detection. 953-958 - Zao Zhang, Huaming Chen, Pei Ning, Nan Yang, Dong Yuan:
CAKD: A Correlation-Aware Knowledge Distillation Framework Based on Decoupling Kullback-Leibler Divergence. 959-964 - Nengjun Zhu, Lingdan Sun, Xiangfeng Luo, Jian Cao, Qi Zhang, Xinjiang Lu:
Exploitation or Exploration Next? User Behavior Decoupling and Emerging Intent Modeling for Next-Item Recommendation. 965-970 - Xingjie Zhuang, Zhixin Li:
Multi-Modal Sarcasm Detection via Dual Synergetic Perception Graph Convolutional Networks. 971-976
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-02-26 20:52 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
