Search Results for author: Jiacheng Huang

Found 10 papers, 8 papers with code

Open Knowledge Enrichment for Long-tail Entities

1 code implementation15 Feb 2020 Ermei Cao, Difeng Wang, Jiacheng Huang, Wei Hu

In this paper, we propose a full-fledged approach to knowledge enrichment, which predicts missing properties and infers true facts of long-tail entities from the open Web.

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 +3

Rule-Guided Graph Neural Networks for Recommender Systems

1 code implementation9 Sep 2020 Xinze Lyu, Guangyao Li, Jiacheng Huang, Wei Hu

However, existing work incorporated with KGs cannot capture the explicit long-range semantics between users and items meanwhile consider various connectivity between items.

Collaborative Filtering Knowledge Graphs +1

Trustworthy Knowledge Graph Completion Based on Multi-sourced Noisy Data

1 code implementation21 Jan 2022 Jiacheng Huang, Yao Zhao, Wei Hu, Zhen Ning, Qijin Chen, Xiaoxia Qiu, Chengfu Huo, Weijun Ren

In this paper, we propose a new trustworthy method that exploits facts for a KG based on multi-sourced noisy data and existing facts in the KG.

Deep Active Alignment of Knowledge Graph Entities and Schemata

1 code implementation10 Apr 2023 Jiacheng Huang, Zequn Sun, Qijin Chen, Xiaozhou Xu, Weijun Ren, Wei Hu

With deep learning, it learns the embeddings of entities, relations and classes, and jointly aligns them in a semi-supervised manner.

Active Learning Knowledge Graphs

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

1 code implementation5 Jun 2023 Zequn Sun, Jiacheng Huang, Jinghao Lin, Xiaozhou Xu, Qijin Chen, Wei Hu

We pre-train a large teacher KG embedding model over linked multi-source KGs and distill knowledge to train a student model for a task-specific KG.

Entity Alignment Knowledge Distillation +3

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