b'Wen Zhang'

research

∙ 08/15/2023

A Comprehensive Study on Knowledge Graph Embedding over Relational Patterns Based on Rule Learning

Knowledge Graph Embedding (KGE) has proven to be an effective approach t...

0 Long Jin, et al. ∙

research

∙ 08/11/2023

Large Language Models and Knowledge Graphs: Opportunities and Challenges

Large Language Models (LLMs) have taken Knowledge Representation – and t...

0 Jeff Z. Pan, et al. ∙

research

∙ 07/21/2023

CausE: Towards Causal Knowledge Graph Embedding

Knowledge graph embedding (KGE) focuses on representing the entities and...

0 Yichi Zhang, et al. ∙

research

∙ 05/27/2023

Towards Better Entity Linking with Multi-View Enhanced Distillation

Dense retrieval is widely used for entity linking to retrieve entities f...

1 YI LIU, et al. ∙

research

∙ 04/28/2023

NeuralKG-ind: A Python Library for Inductive Knowledge Graph Representation Learning

Since the dynamic characteristics of knowledge graphs, many inductive kn...

0 Wen Zhang, et al. ∙

research

∙ 04/23/2023

Modality-Aware Negative Sampling for Multi-modal Knowledge Graph Embedding

Negative sampling (NS) is widely used in knowledge graph embedding (KGE)...

0 Yichi Zhang, et al. ∙

research

∙ 03/03/2023

Structure Pretraining and Prompt Tuning for Knowledge Graph Transfer

Knowledge graphs (KG) are essential background knowledge providers in ma...

0 Wen Zhang, et al. ∙

research

∙ 02/03/2023

Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs

Knowledge graphs (KGs) have become effective knowledge resources in dive...

0 Mingyang Chen, et al. ∙

research

∙ 12/29/2022

MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid

As an important variant of entity alignment (EA), multi-modal entity ali...

10 Zhuo Chen, et al. ∙

research

∙ 10/26/2022

Simulated Bifurcation Algorithm for MIMO Detection

We study the performance of the simulated bifurcation (SB) algorithm for...

0 Wen Zhang, et al. ∙

research

∙ 10/20/2022

Tele-Knowledge Pre-training for Fault Analysis

In this work, we share our experience on tele-knowledge pre-training for...

3 Zhuo Chen, et al. ∙

research

∙ 10/08/2022

Relational Message Passing for Fully Inductive Knowledge Graph Completion

In knowledge graph completion (KGC), predicting triples involving emergi...

7 Yuxia Geng, et al. ∙

research

∙ 09/21/2022

Chatbots for Mental Health Support: Exploring the Impact of Emohaa on Reducing Mental Distress in China

The growing demand for mental health support has highlighted the importa...

0 Sahand Sabour, et al. ∙

research

∙ 09/19/2022

Neural-Symbolic Entangled Framework for Complex Query Answering

Answering complex queries over knowledge graphs (KG) is an important yet...

0 Zezhong Xu, et al. ∙

research

∙ 09/15/2022

Knowledge Graph Completion with Pre-trained Multimodal Transformer and Twins Negative Sampling

Knowledge graphs (KGs) that modelings the world knowledge as structural ...

0 Yichi Zhang, et al. ∙

research

∙ 09/13/2022

Ruleformer: Context-aware Differentiable Rule Mining over Knowledge Graph

Rule mining is an effective approach for reasoning over knowledge graph ...

0 Zezhong Xu, et al. ∙

research

∙ 08/19/2022

Aspect-based Sentiment Classification with Sequential Cross-modal Semantic Graph

Multi-modal aspect-based sentiment classification (MABSC) is an emerging...

14 Yufeng Huang, et al. ∙

research

∙ 07/26/2022

LaKo: Knowledge-driven Visual Question Answering via Late Knowledge-to-Text Injection

Visual question answering (VQA) often requires an understanding of visua...

1 Zhuo Chen, et al. ∙

research

∙ 07/04/2022

DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning

Zero-shot learning (ZSL) aims to predict unseen classes whose samples ha...

0 Zhuo Chen, et al. ∙

research

∙ 06/08/2022

Disentangled Ontology Embedding for Zero-shot Learning

Knowledge Graph (KG) and its variant of ontology have been widely used f...

12 Yuxia Geng, et al. ∙

research

∙ 05/13/2022

Blockaid: Data Access Policy Enforcement for Web Applications

Modern web applications serve large amounts of sensitive user data, acce...

0 Wen Zhang, et al. ∙

research

∙ 05/10/2022

Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting

We study the knowledge extrapolation problem to embed new components (i....

0 Mingyang Chen, et al. ∙

research

∙ 04/18/2022

A Deep Learning Galerkin Method for the Closed-Loop Geothermal System

There has been an arising trend of adopting deep learning methods to stu...

0 Wen Zhang, et al. ∙

research

∙ 04/13/2022

Investigating the efficiency of marginalising over discrete parameters in Bayesian computations

Bayesian analysis methods often use some form of iterative simulation su...

0 Wen Zhang, et al. ∙

research

∙ 03/22/2022

Hierarchical Graph Representation Learning for the Prediction of Drug-Target Binding Affinity

The identification of drug-target binding affinity (DTA) has attracted i...

0 Zhaoyang Chu, et al. ∙

research

∙ 03/02/2022

PKGM: A Pre-trained Knowledge Graph Model for E-commerce Application

In recent years, knowledge graphs have been widely applied as a uniform ...

13 Wen Zhang, et al. ∙

research

∙ 02/25/2022

NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge Graphs

NeuralKG is an open-source Python-based library for diverse representati...

0 Wen Zhang, et al. ∙

research

∙ 02/15/2022

Knowledge Graph Reasoning with Logics and Embeddings: Survey and Perspective

Knowledge graph (KG) reasoning is becoming increasingly popular in both ...

5 Wen Zhang, et al. ∙

research

∙ 02/07/2022

Energy Harvesting Aware Multi-hop Routing Policy in Distributed IoT System Based on Multi-agent Reinforcement Learning

Energy harvesting technologies offer a promising solution to sustainably...

0 Wen Zhang, et al. ∙

research

∙ 01/11/2022

CDNNs: The coupled deep neural networks for coupling of the Stokes and Darcy-Forchheimer problems

In this article, we present an efficient deep learning method called cou...

0 Jing Yue, et al. ∙

research

∙ 01/10/2022

DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population

We present a new open-source and extensible knowledge extraction toolkit...

79 Ningyu Zhang, et al. ∙

research

∙ 12/16/2021

HampDTI: a heterogeneous graph automatic meta-path learning method for drug-target interaction prediction

Motivation: Identifying drug-target interactions (DTIs) is a key step in...

0 Hongzhun Wang, et al. ∙

research

∙ 12/08/2021

Improving Knowledge Graph Representation Learning by Structure Contextual Pre-training

Representation learning models for Knowledge Graphs (KG) have proven to ...

1 Ganqiang Ye, et al. ∙

research

∙ 12/01/2021

Molecular Contrastive Learning with Chemical Element Knowledge Graph

Molecular representation learning contributes to multiple downstream tas...

0 Yin Fang, et al. ∙

research

∙ 10/27/2021

Standing on the Shoulders of Predecessors: Meta-Knowledge Transfer for Knowledge Graphs

Knowledge graphs (KGs) have become widespread, and various knowledge gra...

0 Mingyang Chen, et al. ∙

research

∙ 10/04/2021

3D-Transformer: Molecular Representation with Transformer in 3D Space

Spatial structures in the 3D space are important to determine molecular ...

5 Fang Wu, et al. ∙

research

∙ 08/20/2021

Knowledge Perceived Multi-modal Pretraining in E-commerce

In this paper, we address multi-modal pretraining of product data in the...

0 Yushan Zhu, et al. ∙

research

∙ 05/02/2021

Billion-scale Pre-trained E-commerce Product Knowledge Graph Model

In recent years, knowledge graphs have been widely applied to organize d...

48 Wen Zhang, et al. ∙

research

∙ 04/30/2021

Improving Conversational Recommendation System by Pretraining on Billions Scale of Knowledge Graph

Conversational Recommender Systems (CRSs) in E-commerce platforms aim to...

0 Chi-Man Wong, et al. ∙

research

∙ 11/25/2020

Towards Playing Full MOBA Games with Deep Reinforcement Learning

MOBA games, e.g., Honor of Kings, League of Legends, and Dota 2, pose gr...

5 Deheng Ye, et al. ∙

research

∙ 11/25/2020

Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings

We present JueWu-SL, the first supervised-learning-based artificial inte...

6 Deheng Ye, et al. ∙

research

∙ 10/30/2020

Logic-guided Semantic Representation Learning for Zero-Shot Relation Classification

Relation classification aims to extract semantic relations between entit...

0 Juan Li, et al. ∙

research

∙ 10/24/2020

FedE: Embedding Knowledge Graphs in Federated Setting

Knowledge graphs (KGs) consisting of triples are always incomplete, so i...

0 Mingyang Chen, et al. ∙

research

∙ 10/10/2020

Barter Exchange via Friends' Friends

Barter exchange studies the setting where each agent owns a good, and th...

0 Yue Zheng, et al. ∙

research

∙ 09/18/2020

The Deep Learning Galerkin Method for the General Stokes Equations

The finite element method, finite difference method, finite volume metho...

0 Jian Li, et al. ∙

research

∙ 09/13/2020

DistilE: Distiling Knowledge Graph Embeddings for Faster and Cheaper Reasoning

Knowledge Graph Embedding (KGE) is a popular method for KG reasoning and...

14 Yushan Zhu, et al. ∙

research

∙ 09/02/2020

Overcoming Negative Transfer: A Survey

Transfer learning aims to help the target task with little or no trainin...

0 Wen Zhang, et al. ∙

research

∙ 07/19/2020

Deep Representation Learning For Multimodal Brain Networks

Applying network science approaches to investigate the functions and ana...

0 Wen Zhang, et al. ∙

research

∙ 05/01/2020

Neural Entity Summarization with Joint Encoding and Weak Supervision

In a large-scale knowledge graph (KG), an entity is often described by a...

0 Junyou Li, et al. ∙

research

∙ 02/24/2020

Variational Wasserstein Barycenters for Geometric Clustering

We propose to compute Wasserstein barycenters (WBs) by solving for Monge...

12 Liang Mi, et al. ∙

Wen Zhang

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