Yankai Chen
Cited by
Cited by
Effective and efficient attributed community search
Y Fang, R Cheng, Y Chen, S Luo, J Hu
The VLDB Journal 26, 803-828, 2017
Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation
Y Chen, M Yang, Y Zhang, M Zhao, Z Meng, J Hao, I King
International Conference on Web Search and Data Mining (WSDM'22), 94-102, 2021
Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation
Y Chen, Y Yang, Y Wang, J Bai, X Song, I King
IEEE International Conference on Data Engineering (ICDE'22), 299-311, 2021
Exploring Communities in Large Profiled Graphs
Y Chen, Y Fang, R Cheng, Y Li, X Chen, J Zhang
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2018
Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation
Y Chen, H Guo, Y Zhang, C Ma, R Tang, J Li, I King
SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'22), 168-178, 2022
Efficient community search over large directed graphs: An augmented index-based approach
Y Chen, J Zhang, Y Fang, X Cao, I King
International Joint Conferences on Artificial Intelligence (IJCAI'20), 3544-3550, 2021
Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space
Y Chen, Y Fang, Y Zhang, I King
Web Conference 2023 (WWW'23), 3164-3172, 2023
WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering
Y Chen, Y Zhang, M Yang, Z Song, C Ma, I King
SIGIR Conference on Research and Development in Information Retrieval (SIGIR'23), 2023
Hyperbolic Representation Learning: Revisiting and Advancing
M Yang, M Zhou, R Ying, Y Chen, I King
International Conference on Machine Learning (ICML'23) 202, 39639--39659, 2023
Contrastive Cross-scale Graph Knowledge Synergy
Y Zhang, Y Chen, Z Song, I King
SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'23), 3422-3433, 2023
Topological representation learning for e-commerce shopping behaviors
Y Chen, T Truong, X Shen, M Wang, J Li, J Chan, I King
Workshop on Mining and Learning with Graphs at The 29th SIGKDD Conference on …, 2023
Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective
Y Zhang, H Zhu, Y Chen, Z Song, P Koniusz, I King
Advances in Neural Information Processing Systems (NeurIPS'23) 36, 2024
Knowledge-aware neural networks with personalized feature referencing for cold-start recommendation
X Zhang, Y Chen, C Gao, Q Liao, S Zhao, I King
arXiv preprint arXiv:2209.13973, 2022
An Effective Post-training Embedding Binarization Approach for Fast Online Top-K Passage Matching
Y Chen, Y Zhang, H Guo, R Tang, I King
Asia-Pacific Chapter of the Association for Computational Linguistics (AACL …, 2022
A Literature Review of Recent Graph Embedding Techniques for Biomedical Data
Y Chen, Y Wu, S Ma, I King
International Conference on Neural Information Processing (ICONIP'20), 21-29, 2020
A survey on graph embedding techniques for biomedical data: Methods and applications
Y Wu, Y Chen, Z Yin, W Ding, I King
Information Fusion 100, 101909, 2023
Towards low-loss 1-bit quantization of user-item representations for top-k recommendation
Y Chen, Y Zhang, Y Zhang, H Guo, J Li, R Tang, X He, I King
arXiv preprint arXiv:2112.01944, 2021
A Survey on Deep Active Learning: Recent Advances and New Frontiers
D Li, Z Wang, Y Chen, R Jiang, W Ding, M Okumura
IEEE Transactions on Neural Networks and Learning Systems, 2024
Influential Exemplar Replay for Incremental Learning in Recommender Systems
X Zhang, Y Chen, C Ma, Y Fang, I King
AAAI Conference on Artificial Intelligence (AAAI'24) 38 (8), 9368-9376, 2024
Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks
Y Chen, Y Fang, Q Wang, X Cao, I King
AAAI Conference on Artificial Intelligence (AAAI'24) 38 (8), 8302-8310, 2024
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