Weixin Zeng

Orcid: 0000-0002-2690-3190

According to our database1, Weixin Zeng authored at least 49 papers between 2018 and 2025.

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Bibliography

2025
Open knowledge graph completion with negative-aware representation learning and multi-source reliability inference.
Inf. Fusion, 2025

2024
Hyperedge Graph Contrastive Learning.
IEEE Trans. Knowl. Data Eng., December, 2024

Open knowledge base canonicalization with multi-task learning.
World Wide Web (WWW), September, 2024

Knowledge Graph Alignment Under Scarce Supervision: A General Framework With Active Cross-View Contrastive Learning.
IEEE Trans. Neural Networks Learn. Syst., September, 2024

Dismantling complex networks with graph contrastive learning and multi-hop aggregation.
Inf. Sci., 2024

Open Knowledge Base Canonicalization with Multi-task Learning.
CoRR, 2024

Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study [Extended Abstract].
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Zero-shot Knowledge Graph Question Generation via Multi-agent LLMs and Small Models Synthesis.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

M3: A Multi-Image Multi-Modal Entity Alignment Dataset.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Benchmarking Challenges for Temporal Knowledge Graph Alignment.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study.
IEEE Trans. Knowl. Data Eng., December, 2023

Cross-view graph contrastive learning with hypergraph.
Inf. Fusion, November, 2023

Few-shot named entity recognition with hybrid multi-prototype learning.
World Wide Web (WWW), September, 2023

Active Temporal Knowledge Graph Alignment.
Int. J. Semantic Web Inf. Syst., 2023

Node Importance Estimation with Multiview Contrastive Representation Learning.
Int. J. Intell. Syst., 2023

Open Knowledge Base Canonicalization with Multi-task Unlearning.
CoRR, 2023

Personalized Federated Relation Classification over Heterogeneous Texts.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Interpretable Fake News Detection with Graph Evidence.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Negation: An Effective Method to Generate Hard Negatives.
Proceedings of the Web and Big Data. APWeb-WAIM 2023 International Workshops, 2023

Knowledge Graph Completion with Fused Factual and Commonsense Information.
Proceedings of the Web Information Systems and Applications, 2023

Policy-Oriented Object Ranking with High-Dimensional Data: A Case Study of Olympic Host Country or Region Selection.
Proceedings of the Web Information Systems and Applications, 2023

Entity Alignment - Concepts, Recent Advances and Novel Approaches
Springer, ISBN: 978-981-99-4249-7, 2023

2022
On entity alignment at scale.
VLDB J., 2022

An Experimental Study of State-of-the-Art Entity Alignment Approaches.
IEEE Trans. Knowl. Data Eng., 2022

Toward Entity Alignment in the Open World: An Unsupervised Approach with Confidence Modeling.
Data Sci. Eng., 2022

Few-Shot Relational Triple Extraction with Perspective Transfer Network.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Iterative Deep Graph Learning with Local Feature Augmentation for Network Alignment.
Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021
To hop or not, that is the question: Towards effective multi-hop reasoning over knowledge graphs.
World Wide Web, 2021

Reinforcement Learning-based Collective Entity Alignment with Adaptive Features.
ACM Trans. Inf. Syst., 2021

Knowledge graph embedding by relational and entity rotation.
Knowl. Based Syst., 2021

Multi-modal entity alignment in hyperbolic space.
Neurocomputing, 2021

Towards Entity Alignment in the Open World: An Unsupervised Approach.
Proceedings of the Database Systems for Advanced Applications, 2021

Reinforced Active Entity Alignment.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

MOOPer: A Large-Scale Dataset of Practice-Oriented Online Learning.
Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction, 2021

2020
Domain relation extraction from noisy Chinese texts.
Neurocomputing, 2020

Degree-Aware Alignment for Entities in Tail.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

CLEEK: A Chinese Long-text Corpus for Entity Linking.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Collective Entity Alignment via Adaptive Features.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019
Entity Linking via Symmetrical Attention-Based Neural Network and Entity Structural Features.
Symmetry, 2019

Measuring Entity Relatedness via Entity and Text Joint Embedding.
Neural Process. Lett., 2019

Research on the Realization Method of Augmented Reality based on Unity3D.
J. Robotics Netw. Artif. Life, 2019

Collective Embedding-based Entity Alignment via Adaptive Features.
CoRR, 2019

Iterative Representation Learning for Entity Alignment Leveraging Textual Information.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Iterative Entity Alignment with Improved Neural Attribute Embedding.
Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG2019) Co-located with the 16th Extended Semantic Web Conference 2019 (ESWC 2019), 2019

Relevance-Based Entity Embedding.
Proceedings of the Database Systems for Advanced Applications, 2019

2018
Collective List-Only Entity Linking: A Graph-Based Approach.
IEEE Access, 2018

Entity Linking on Chinese Microblogs via Deep Neural Network.
IEEE Access, 2018

Efficient and Accurate Traffic Flow Prediction via Incremental Tensor Completion.
IEEE Access, 2018

Named Entity Disambiguation via Probabilistic Graphical Model with Embedding Features.
Proceedings of the Neural Information Processing - 25th International Conference, 2018


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