Lingbing Guo

Orcid: 0000-0002-8589-276X

According to our database1, Lingbing Guo authored at least 23 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
The Power of Noise: Toward a Unified Multi-modal Knowledge Graph Representation Framework.
CoRR, 2024

ASGEA: Exploiting Logic Rules from Align-Subgraphs for Entity Alignment.
CoRR, 2024

Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey.
CoRR, 2024

2023
Universal Multi-modal Entity Alignment via Iteratively Fusing Modality Similarity Paths.
CoRR, 2023

Revisit and Outstrip Entity Alignment: A Perspective of Generative Models.
CoRR, 2023

Newton-Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems.
CoRR, 2023

Rethinking Uncertainly Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignment.
Proceedings of the Semantic Web - ISWC 2023, 2023

Newton-Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022
MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid.
CoRR, 2022

Unleashing the Power of Transformer for Graphs.
CoRR, 2022

Understanding and Improving Knowledge Graph Embedding for Entity Alignment.
Proceedings of the International Conference on Machine Learning, 2022

Deep Reinforcement Learning for Entity Alignment.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Principled Representation Learning for Entity Alignment.
CoRR, 2021

2020
Decentralized Knowledge Graph Representation Learning.
CoRR, 2020

TransEdge: Translating Relation-contextualized Embeddings for Knowledge Graphs.
CoRR, 2020

2019
Learning to Complete Knowledge Graphs with Deep Sequential Models.
Data Intell., 2019

TransEdge: Translating Relation-Contextualized Embeddings for Knowledge Graphs.
Proceedings of the Semantic Web - ISWC 2019, 2019

Multi-view Knowledge Graph Embedding for Entity Alignment.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Recurrent Skipping Networks for Entity Alignment.
CoRR, 2018

Re-evaluating Embedding-Based Knowledge Graph Completion Methods.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

DSKG: A Deep Sequential Model for Knowledge Graph Completion.
Proceedings of the Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding, 2018


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