Search Results for author: Yuanzhuo Wang

Found 11 papers, 3 papers with code

Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs

no code implementations ACL 2021 Zixuan Li, Xiaolong Jin, Saiping Guan, Wei Li, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng

Specifically, at the clue searching stage, CluSTeR learns a beam search policy via reinforcement learning (RL) to induce multiple clues from historical facts.

Knowledge Graphs

Link Prediction on N-ary Relational Data Based on Relatedness Evaluation

1 code implementation21 Apr 2021 Saiping Guan, Xiaolong Jin, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng

However, they mainly focus on link prediction on binary relational data, where facts are usually represented as triples in the form of (head entity, relation, tail entity).

Knowledge Graphs Link Prediction

Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning

1 code implementation21 Apr 2021 Zixuan Li, Xiaolong Jin, Wei Li, Saiping Guan, Jiafeng Guo, HuaWei Shen, Yuanzhuo Wang, Xueqi Cheng

To capture these properties effectively and efficiently, we propose a novel Recurrent Evolution network based on Graph Convolution Network (GCN), called RE-GCN, which learns the evolutional representations of entities and relations at each timestamp by modeling the KG sequence recurrently.

Representation Learning

NeuInfer: Knowledge Inference on N-ary Facts

no code implementations ACL 2020 Saiping Guan, Xiaolong Jin, Jiafeng Guo, Yuanzhuo Wang, Xue-Qi Cheng

It aims to infer an unknown element in a partial fact consisting of the primary triple coupled with any number of its auxiliary description(s).

Path-Based Attention Neural Model for Fine-Grained Entity Typing

no code implementations29 Oct 2017 Denghui Zhang, Pengshan Cai, Yantao Jia, Manling Li, Yuanzhuo Wang, Xue-Qi Cheng

Fine-grained entity typing aims to assign entity mentions in the free text with types arranged in a hierarchical structure.

Entity Typing

Efficient Parallel Translating Embedding For Knowledge Graphs

1 code implementation30 Mar 2017 Denghui Zhang, Manling Li, Yantao Jia, Yuanzhuo Wang, Xue-Qi Cheng

Knowledge graph embedding aims to embed entities and relations of knowledge graphs into low-dimensional vector spaces.

Knowledge Graph Embedding Knowledge Graphs +2

Locally Adaptive Translation for Knowledge Graph Embedding

no code implementations4 Dec 2015 Yantao Jia, Yuanzhuo Wang, Hailun Lin, Xiaolong Jin, Xue-Qi Cheng

Knowledge graph embedding aims to represent entities and relations in a large-scale knowledge graph as elements in a continuous vector space.

Knowledge Graph Embedding Knowledge Graphs +1

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