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ORCID25th PAKDD 2021: Virtual Event / Delhi, India
- Kamal Karlapalem
, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy, Jaideep Srivastava, Tanmoy Chakraborty:
Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part III. Lecture Notes in Computer Science 12714, Springer 2021, ISBN 978-3-030-75767-0
Representation Learning and Embedding
- Fangbing Liu, Qing Wang:
Episode Adaptive Embedding Networks for Few-Shot Learning. 3-15 - Linfeng Liu, Hoan Nguyen, George Karypis, Srinivasan Sengamedu:
Universal Representation for Code. 16-28 - Bei Lin, Binli Luo, Jiaojiao He, Ning Gui:
Self-supervised Adaptive Aggregator Learning on Graph. 29-41 - Guihong Wan, Haim Schweitzer:
A Fast Algorithm for Simultaneous Sparse Approximation. 42-54 - Prakamya Mishra:
STEPs-RL: Speech-Text Entanglement for Phonetically Sound Representation Learning. 55-66 - Yinzhe Li, Zhijie Ban:
RW-GCN: Training Graph Convolution Networks with Biased Random Walk for Semi-supervised Classification. 67-76 - Mojtaba Nayyeri, Chengjin Xu, Yadollah Yaghoobzadeh, Sahar Vahdati, Mirza Mohtashim Alam, Hamed Shariat Yazdi, Jens Lehmann:
Loss-Aware Pattern Inference: A Correction on the Wrongly Claimed Limitations of Embedding Models. 77-89 - Amit Roy, Kashob Kumar Roy, Amin Ahsan Ali, M. Ashraful Amin, A. K. M. Mahbubur Rahman:
SST-GNN: Simplified Spatio-Temporal Traffic Forecasting Model Using Graph Neural Network. 90-102 - Viresh Gupta, Tanmoy Chakraborty:
VIKING: Adversarial Attack on Network Embeddings via Supervised Network Poisoning. 103-115 - Zihan Liao, Wenxin Liang, Han Liu, Jie Mu, Xianchao Zhang:
Self-supervised Graph Representation Learning with Variational Inference. 116-127 - Bahareh Fatemi, Soheila Molaei, Hadi Zare, Shirui Pan:
Manifold Approximation and Projection by Maximizing Graph Information. 128-140 - Zhihao Wang, Honggang Xu, Xin Li, Yuxin Deng:
Learning Attention-Based Translational Knowledge Graph Embedding via Nonlinear Dynamic Mapping. 141-154 - Zhiheng Lyu, Kaijie Shi, Xin Li, Lei Hou, Juanzi Li, Binheng Song:
Multi-Grained Dependency Graph Neural Network for Chinese Open Information Extraction. 155-167 - Xiaowei Zhou, Jie Yin, Ivor W. Tsang, Chen Wang:
Human-Understandable Decision Making for Visual Recognition. 168-180 - Zhiyuan Ning, Ziyue Qiao, Hao Dong, Yi Du, Yuanchun Zhou:
LightCAKE: A Lightweight Framework for Context-Aware Knowledge Graph Embedding. 181-193 - Rukshan Darshana Wijesinghe, Kasun Vithanage, Dumindu Tissera, Alex Xavier, Subha Fernando, Jayathu Samarawickrama:
Transferring Domain Knowledge with an Adviser in Continuous Tasks. 194-205 - Weipéng Huáng, Nishma Laitonjam, Guangyuan Piao, Neil J. Hurley:
Inferring Hierarchical Mixture Structures: A Bayesian Nonparametric Approach. 206-218 - Masafumi Enomoto, Kunihiro Takeoka, Yuyang Dong, Masafumi Oyamada, Takeshi Okadome:
Quality Control for Hierarchical Classification with Incomplete Annotations. 219-230
Learning from Data
- Ali Braytee, Wei Liu:
Learning Discriminative Features Using Multi-label Dual Space. 233-245 - Yue Liu, Shuang Li, Wenjie Tian:
AutoCluster: Meta-learning Based Ensemble Method for Automated Unsupervised Clustering. 246-258 - Phanideep Gampa, Sumio Fujita:
BanditRank: Learning to Rank Using Contextual Bandits. 259-271 - Mohit Agarwal, Suneet K. Gupta, K. K. Biswas:
A Compressed and Accelerated SegNet for Plant Leaf Disease Segmentation: A Differential Evolution Based Approach. 272-284 - Debanjana Kar, Suranjana Samanta, Amar Prakash Azad:
Meta-context Transformers for Domain-Specific Response Generation. 285-297 - Zizhuo Meng, Jie Xu, Zhidong Li, Yang Wang, Fang Chen, Zhiyong Wang:
A Multi-task Kernel Learning Algorithm for Survival Analysis. 298-311 - Yue Liu, Wenjie Tian, Shuang Li:
Meta-data Augmentation Based Search Strategy Through Generative Adversarial Network for AutoML Model Selection. 312-324 - Tianchi Yang, Linmei Hu, Luhao Zhang, Chuan Shi, Cheng Yang, Nan Duan, Ming Zhou:
Tree-Capsule: Tree-Structured Capsule Network for Improving Relation Extraction. 325-337 - Sheng Wang, Xiaoyin Chen, Shengwu Xiong:
Rule Injection-Based Generative Adversarial Imitation Learning for Knowledge Graph Reasoning. 338-350 - M. Tanjid Hasan Tonmoy, Saif Mahmud, A. K. M. Mahbubur Rahman, M. Ashraful Amin, Amin Ahsan Ali:
Hierarchical Self Attention Based Autoencoder for Open-Set Human Activity Recognition. 351-363 - Bo Xu, Xiangsan Zhao, Chaofeng Sha, Minjun Zhang, Hui Song:
Reinforced Natural Language Inference for Distantly Supervised Relation Classification. 364-376 - Shuangji Yang, Taolin Zhang, Danning Su, Nan Hu, Wei Nong, Xiaofeng He:
SaGCN: Structure-Aware Graph Convolution Network for Document-Level Relation Extraction. 377-389 - Nikhil Nasalwai, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Addressing the Class Imbalance Problem in Medical Image Segmentation via Accelerated Tversky Loss Function. 390-402 - Kun Wu, Xu Yuan, Yue Ning:
Incorporating Relational Knowledge in Explainable Fake News Detection. 403-415 - Li Cui, Deqing Yang, Jiayang Cheng, Yanghua Xiao:
Incorporating Syntactic Information into Relation Representations for Enhanced Relation Extraction. 416-428
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