Zequn Sun

About Zequn Sun

Zequn Sun, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at Nanjing University, specializes in the field of Knowledge Graph, Representation Learning.

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

Distributed representations of entities in open-world knowledge graphs

Newton–Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems

KnowLA: Enhancing Parameter-efficient Finetuning with Knowledgeable Adaptation

Generating Explanations to Understand and Repair Embedding-based Entity Alignment

Lifelong embedding learning and transfer for growing knowledge graphs

Joint Pre-training and Local Re-training: Transferable Representation Learning on Multi-source Knowledge Graphs

What Makes Entities Similar? A Similarity Flooding Perspective for Multi-sourced Knowledge Graph Embeddings

Deep Active Alignment of Knowledge Graph Entities and Schemata

Zequn Sun Information

University

Position

___

Citations(all)

2195

Citations(since 2020)

2180

Cited By

487

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

13

i10Index(since 2020)

13

Email

University Profile Page

Google Scholar

Zequn Sun Skills & Research Interests

Knowledge Graph

Representation Learning

Top articles of Zequn Sun

Distributed representations of entities in open-world knowledge graphs

Knowledge-Based Systems

2024/2/29

Newton–Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems

Advances in Neural Information Processing Systems

2024/2/13

KnowLA: Enhancing Parameter-efficient Finetuning with Knowledgeable Adaptation

arXiv preprint arXiv:2403.14950

2024/3/22

Generating Explanations to Understand and Repair Embedding-based Entity Alignment

arXiv preprint arXiv:2312.04877

2023/12/8

Zequn Sun
Zequn Sun

H-Index: 7

Wei Hu
Wei Hu

H-Index: 1

Lifelong embedding learning and transfer for growing knowledge graphs

Proceedings of the AAAI Conference on Artificial Intelligence

2023/6/26

Joint Pre-training and Local Re-training: Transferable Representation Learning on Multi-source Knowledge Graphs

2023/8/6

What Makes Entities Similar? A Similarity Flooding Perspective for Multi-sourced Knowledge Graph Embeddings

2023/7/3

Deep Active Alignment of Knowledge Graph Entities and Schemata

2023/4/10

Position-Aware Relational Transformer for Knowledge Graph Embedding

IEEE Transactions on Neural Networks and Learning Systems

2023/4/5

Enabling Abductive Learning to Exploit Knowledge Graph

2023/8/19

EventEA: Benchmarking Entity Alignment for Event-centric Knowledge Graphs

arXiv preprint arXiv:2211.02817

2022/11/5

I Know What You Do Not Know: Knowledge Graph Embedding via Co-distillation Learning

2022/10/17

Large-scale Entity Alignment via Knowledge Graph Merging, Partitioning and Embedding

2022/10/17

Zequn Sun
Zequn Sun

H-Index: 7

Wei Hu
Wei Hu

H-Index: 1

Inductive Knowledge Graph Reasoning for Multi-batch Emerging Entities

2022/10/17

Revisiting Embedding-based Entity Alignment: A Robust and Adaptive Method

IEEE Transactions on Knowledge and Data Engineering

2022/8/23

Understanding and Improving Knowledge Graph Embedding for Entity Alignment

2022/6/28

Dangling-Aware Entity Alignment with Mixed High-Order Proximities

arXiv preprint arXiv:2205.02406

2022/5/5

Ensemble Semi-supervised Entity Alignment via Cycle-teaching

Proceedings of the AAAI Conference on Artificial Intelligence

2022/6/28

Informed Multi-context Entity Alignment

2022/2/11

Zequn Sun
Zequn Sun

H-Index: 7

Wei Hu
Wei Hu

H-Index: 1

: A Library for Multi-source Knowledge Graph Embeddings and Applications

2022/10/16

Zequn Sun
Zequn Sun

H-Index: 7

Wei Hu
Wei Hu

H-Index: 1

See List of Professors in Zequn Sun University(Nanjing University)

Co-Authors

academic-engine