Search Results for author: Chenghu Zhou

Found 15 papers, 8 papers with code

RFBFN: A Relation-First Blank Filling Network for Joint Relational Triple Extraction

1 code implementation ACL 2022 Zhe Li, Luoyi Fu, Xinbing Wang, Haisong Zhang, Chenghu Zhou

However, most existing works either ignore the semantic information of relations or predict subjects and objects sequentially.

Exploring the Limits of Historical Information for Temporal Knowledge Graph Extrapolation

no code implementations29 Aug 2023 Yi Xu, Junjie Ou, Hui Xu, Luoyi Fu, Lei Zhou, Xinbing Wang, Chenghu Zhou

To this end, we investigate the limits of historical information for temporal knowledge graph extrapolation and propose a new event forecasting model called Contrastive Event Network (CENET) based on a novel training framework of historical contrastive learning.

Contrastive Learning Knowledge Graphs

Graph Out-of-Distribution Generalization with Controllable Data Augmentation

no code implementations16 Aug 2023 Bin Lu, Xiaoying Gan, Ze Zhao, Shiyu Liang, Luoyi Fu, Xinbing Wang, Chenghu Zhou

The spurious correlations over hybrid distribution deviation degrade the performance of previous GNN methods and show large instability among different datasets.

Data Augmentation Graph Classification +2

Exploring and Verbalizing Academic Ideas by Concept Co-occurrence

1 code implementation4 Jun 2023 Yi Xu, Shuqian Sheng, Bo Xue, Luoyi Fu, Xinbing Wang, Chenghu Zhou

The results demonstrate that our system has broad prospects and can assist researchers in expediting the process of discovering new ideas.

Language Modelling Link Prediction

Prediction with Incomplete Data under Agnostic Mask Distribution Shift

no code implementations18 May 2023 Yichen Zhu, Jian Yuan, Bo Jiang, Tao Lin, Haiming Jin, Xinbing Wang, Chenghu Zhou

We focus on the case where the underlying joint distribution of complete features and label is invariant, but the missing pattern, i. e., mask distribution may shift agnostically between training and testing.

Covidia: COVID-19 Interdisciplinary Academic Knowledge Graph

no code implementations14 Apr 2023 Cheng Deng, Jiaxin Ding, Luoyi Fu, Weinan Zhang, Xinbing Wang, Chenghu Zhou

In this work, we propose Covidia, COVID-19 interdisciplinary academic knowledge graph to bridge the gap between knowledge of COVID-19 on different domains.

Classification Contrastive Learning +2

PK-Chat: Pointer Network Guided Knowledge Driven Generative Dialogue Model

2 code implementations2 Apr 2023 Cheng Deng, Bo Tong, Luoyi Fu, Jiaxin Ding, Dexing Cao, Xinbing Wang, Chenghu Zhou

In the research of end-to-end dialogue systems, using real-world knowledge to generate natural, fluent, and human-like utterances with correct answers is crucial.

Knowledge Graphs Language Modelling

Text Classification in the Wild: a Large-scale Long-tailed Name Normalization Dataset

1 code implementation19 Feb 2023 Jiexing Qi, Shuhao Li, Zhixin Guo, Yusheng Huang, Chenghu Zhou, Weinan Zhang, Xinbing Wang, Zhouhan Lin

In this work, we first collect a large-scale institution name normalization dataset LoT-insts1, which contains over 25k classes that exhibit a naturally long-tailed distribution.

Long-tail Learning Out-of-Distribution Generalization +3

Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing

1 code implementation3 Feb 2023 Yunchong Song, Chenghu Zhou, Xinbing Wang, Zhouhan Lin

This is achieved by aligning the hierarchy of the rooted-tree of a central node with the ordered neurons in its node representation.

Node Classification

KnowledgeShovel: An AI-in-the-Loop Document Annotation System for Scientific Knowledge Base Construction

no code implementations6 Oct 2022 Shao Zhang, Yuting Jia, Hui Xu, Dakuo Wang, Toby Jia-Jun Li, Ying Wen, Xinbing Wang, Chenghu Zhou

Constructing a comprehensive, accurate, and useful scientific knowledge base is crucial for human researchers synthesizing scientific knowledge and for enabling Al-driven scientific discovery.

Disentangled Graph Contrastive Learning for Review-based Recommendation

no code implementations4 Sep 2022 Yuyang Ren, Haonan Zhang, Qi Li, Luoyi Fu, Jiaxin Ding, Xinde Cao, Xinbing Wang, Chenghu Zhou

In review-based recommendation methods, review data is considered as auxiliary information that can improve the quality of learned user/item or interaction representations for the user rating prediction task.

Contrastive Learning Recommendation Systems

RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL

1 code implementation14 May 2022 Jiexing Qi, Jingyao Tang, Ziwei He, Xiangpeng Wan, Yu Cheng, Chenghu Zhou, Xinbing Wang, Quanshi Zhang, Zhouhan Lin

Our model can incorporate almost all types of existing relations in the literature, and in addition, we propose introducing co-reference relations for the multi-turn scenario.

Dialogue State Tracking Semantic Parsing +1

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