Search Results for author: Lingbing Guo

Found 10 papers, 5 papers with code

Unleashing the Power of Transformer for Graphs

no code implementations18 Feb 2022 Lingbing Guo, Qiang Zhang, Huajun Chen

Our experiments demonstrate DET has achieved superior performance compared to the respective state-of-the-art methods in dealing with molecules, networks and knowledge graphs with various sizes.

Knowledge Graphs

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

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

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

DSKG: A Deep Sequential Model for Knowledge Graph Completion

1 code implementation30 Oct 2018 Lingbing Guo, Qingheng Zhang, Weiyi Ge, Wei Hu, Yuzhong Qu

Knowledge graph (KG) completion aims to fill the missing facts in a KG, where a fact is represented as a triple in the form of $(subject, relation, object)$.

Knowledge Graph Completion

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