Lingbing Guo

About Lingbing Guo

Lingbing Guo, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Nanjing University, specializes in the field of Machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Newton–cotes graph neural networks: On the time evolution of dynamic systems

Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey

MyGO: Discrete Modality Information as Fine-Grained Tokens for Multi-modal Knowledge Graph Completion

NativE: Multi-modal Knowledge Graph Completion in the Wild

The Power of Noise: Toward a Unified Multi-modal Knowledge Graph Representation Framework

Distributed representations of entities in open-world knowledge graphs

ASGEA: Exploiting Logic Rules from Align-Subgraphs for Entity Alignment

Rethinking uncertainly missing and ambiguous visual modality in multi-modal entity alignment

Lingbing Guo Information

University

Position

___

Citations(all)

717

Citations(since 2020)

716

Cited By

172

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

7

i10Index(since 2020)

7

Email

University Profile Page

Google Scholar

Lingbing Guo Skills & Research Interests

Machine learning

Top articles of Lingbing Guo

Newton–cotes graph neural networks: On the time evolution of dynamic systems

Advances in Neural Information Processing Systems

2024/2/13

MyGO: Discrete Modality Information as Fine-Grained Tokens for Multi-modal Knowledge Graph Completion

arXiv preprint arXiv:2404.09468

2024/4/15

NativE: Multi-modal Knowledge Graph Completion in the Wild

Authorea Preprints

2024/4/8

The Power of Noise: Toward a Unified Multi-modal Knowledge Graph Representation Framework

arXiv preprint arXiv:2403.06832

2024/3/11

Distributed representations of entities in open-world knowledge graphs

Knowledge-Based Systems

2024/2/29

ASGEA: Exploiting Logic Rules from Align-Subgraphs for Entity Alignment

arXiv preprint arXiv:2402.11000

2024/2/16

Rethinking uncertainly missing and ambiguous visual modality in multi-modal entity alignment

2023/10/27

Universal multi-modal entity alignment via iteratively fusing modality similarity paths

arXiv preprint arXiv:2310.05364

2023/10/9

Revisit and outstrip entity alignment: A perspective of generative models

arXiv preprint arXiv:2305.14651

2023/5/24

Domain-agnostic molecular generation with self-feedback

arXiv preprint arXiv:2301.11259

2023/1/26

Reach the Remote Neighbors: Dual-Encoding Transformer for Graphs

2022/9/29

Understanding and improving knowledge graph embedding for entity alignment

2022/6/28

Deep reinforcement learning for entity alignment

Findings of ACL

2022/3/7

Unleashing the power of transformer for graphs

arXiv preprint arXiv:2202.10581

2022/2/18

Lingbing Guo
Lingbing Guo

H-Index: 5

Qiang Zhang
Qiang Zhang

H-Index: 18

Principled Representation Learning for Entity Alignment

arXiv preprint arXiv:2110.10871

2021/10/21

Decentralized knowledge graph representation learning

arXiv preprint arXiv:2010.08114

2021

Towards Principled Representation Learning for Entity Alignment

2020/10/2

See List of Professors in Lingbing Guo University(Nanjing University)

Co-Authors

academic-engine