Search Results for author: Zequn Sun

Found 22 papers, 17 papers with code

Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs

1 code implementation29 Nov 2022 Yuanning Cui, Yuxin Wang, Zequn Sun, Wenqiang Liu, Yiqiao Jiang, Kexin Han, Wei Hu

We consider knowledge transfer and retention of the learning on growing snapshots of a KG without having to learn embeddings from scratch.

Knowledge Graphs Transfer Learning

EventEA: Benchmarking Entity Alignment for Event-centric Knowledge Graphs

1 code implementation5 Nov 2022 Xiaobin Tian, Zequn Sun, Guangyao Li, Wei Hu

Towards a critical evaluation of embedding-based entity alignment methods, we construct a new dataset with heterogeneous relations and attributes based on event-centric KGs.

Entity Alignment Knowledge Graphs

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

1 code implementation23 Aug 2022 Kexuan Xin, Zequn Sun, Wen Hua, Wei Hu, Jianfeng Qu, Xiaofang Zhou

Therefore, in this work, we propose a scalable GNN-based entity alignment approach to reduce the structure and alignment loss from three perspectives.

Entity Alignment

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

1 code implementation21 Aug 2022 Yang Liu, Zequn Sun, Guangyao Li, Wei Hu

To this end, we propose CoLE, a Co-distillation Learning method for KG Embedding that exploits the complementarity of graph structures and text information.

Knowledge Graph Embedding Language Modelling

Facing Changes: Continual Entity Alignment for Growing Knowledge Graphs

1 code implementation23 Jul 2022 Yuxin Wang, Yuanning Cui, Wenqiang Liu, Zequn Sun, Yiqiao Jiang, Kexin Han, Wei Hu

To avoid retraining an entire model on the whole KGs whenever new entities and triples come, we present a continual alignment method for this task.

Entity Alignment Knowledge Graphs

Ensemble Semi-supervised Entity Alignment via Cycle-teaching

1 code implementation12 Mar 2022 Kexuan Xin, Zequn Sun, Wen Hua, Bing Liu, Wei Hu, Jianfeng Qu, Xiaofang Zhou

We also design a conflict resolution mechanism to resolve the alignment conflict when combining the new alignment of an aligner and that from its teacher.

Entity Alignment Knowledge Graphs

Informed Multi-context Entity Alignment

1 code implementation2 Jan 2022 Kexuan Xin, Zequn Sun, Wen Hua, Wei Hu, Xiaofang Zhou

Entity alignment is a crucial step in integrating knowledge graphs (KGs) from multiple sources.

Entity Alignment Entity Embeddings +1

Knowing the No-match: Entity Alignment with Dangling Cases

1 code implementation ACL 2021 Zequn Sun, Muhao Chen, Wei Hu

Since KGs possess different sets of entities, there could be entities that cannot find alignment across them, leading to the problem of dangling entities.

Abstention Prediction Entity Alignment +1

Towards Principled Representation Learning for Entity Alignment

no code implementations1 Jan 2021 Lingbing Guo, Zequn Sun, Mingyang Chen, Wei Hu, Huajun Chen

In this paper, we define a typical paradigm abstracted from the existing methods, and analyze how the representation discrepancy between two potentially-aligned entities is implicitly bounded by a predefined margin in the scoring function for embedding learning.

Entity Alignment Machine Translation +1

Decentralized Knowledge Graph Representation Learning

no code implementations16 Oct 2020 Lingbing Guo, Weiqing Wang, Zequn Sun, Chenghao Liu, Wei Hu

Knowledge graph (KG) representation learning methods have achieved competitive performance in many KG-oriented tasks, among which the best ones are usually based on graph neural networks (GNNs), a powerful family of networks that learns the representation of an entity by aggregating the features of its neighbors and itself.

Entity Alignment Graph Representation Learning

Knowledge Association with Hyperbolic Knowledge Graph Embeddings

1 code implementation EMNLP 2020 Zequn Sun, Muhao Chen, Wei Hu, Chengming Wang, Jian Dai, Wei zhang

Capturing associations for knowledge graphs (KGs) through entity alignment, entity type inference and other related tasks benefits NLP applications with comprehensive knowledge representations.

Association Entity Alignment +2

TransEdge: Translating Relation-contextualized Embeddings for Knowledge Graphs

1 code implementation22 Apr 2020 Zequn Sun, Jiacheng Huang, Wei Hu, Muchao Chen, Lingbing Guo, Yuzhong Qu

We refer to such contextualized representations of a relation as edge embeddings and interpret them as translations between entity embeddings.

Entity Alignment Entity Embeddings +2

A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs

1 code implementation10 Mar 2020 Zequn Sun, Qingheng Zhang, Wei Hu, Chengming Wang, Muhao Chen, Farahnaz Akrami, Chengkai Li

Recent advancement in KG embedding impels the advent of embedding-based entity alignment, which encodes entities in a continuous embedding space and measures entity similarities based on the learned embeddings.

Entity Alignment Knowledge Graphs

Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation

1 code implementation20 Nov 2019 Zequn Sun, Chengming Wang, Wei Hu, Muhao Chen, Jian Dai, Wei zhang, Yuzhong Qu

As the direct neighbors of counterpart entities are usually dissimilar due to the schema heterogeneity, AliNet introduces distant neighbors to expand the overlap between their neighborhood structures.

Entity Alignment Knowledge Graphs

Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs

1 code implementation13 May 2019 Lingbing Guo, Zequn Sun, Wei Hu

Moreover, triple-level learning is insufficient for the propagation of semantic information among entities, especially for the case of cross-KG embedding.

Entity Alignment Knowledge Graphs

Recurrent Skipping Networks for Entity Alignment

no code implementations6 Nov 2018 Lingbing Guo, Zequn Sun, Ermei Cao, Wei Hu

We consider the problem of learning knowledge graph (KG) embeddings for entity alignment (EA).

Entity Alignment

Cross-lingual Entity Alignment via Joint Attribute-Preserving Embedding

1 code implementation16 Aug 2017 Zequn Sun, Wei Hu, Chengkai Li

Our experimental results on real-world datasets show that this approach significantly outperforms the state-of-the-art embedding approaches for cross-lingual entity alignment and could be complemented with methods based on machine translation.

Entity Alignment Machine Translation +1

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