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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...
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08/11/2023
Large Language Models and Knowledge Graphs: Opportunities and Challenges
Large Language Models (LLMs) have taken Knowledge Representation – and t...
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07/21/2023
CausE: Towards Causal Knowledge Graph Embedding
Knowledge graph embedding (KGE) focuses on representing the entities and...
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05/27/2023
Towards Better Entity Linking with Multi-View Enhanced Distillation
Dense retrieval is widely used for entity linking to retrieve entities f...
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04/28/2023
NeuralKG-ind: A Python Library for Inductive Knowledge Graph Representation Learning
Since the dynamic characteristics of knowledge graphs, many inductive kn...
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04/23/2023
Modality-Aware Negative Sampling for Multi-modal Knowledge Graph Embedding
Negative sampling (NS) is widely used in knowledge graph embedding (KGE)...
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03/03/2023
Structure Pretraining and Prompt Tuning for Knowledge Graph Transfer
Knowledge graphs (KG) are essential background knowledge providers in ma...
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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...
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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...
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10/26/2022
Simulated Bifurcation Algorithm for MIMO Detection
We study the performance of the simulated bifurcation (SB) algorithm for...
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10/20/2022
Tele-Knowledge Pre-training for Fault Analysis
In this work, we share our experience on tele-knowledge pre-training for...
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10/08/2022
Relational Message Passing for Fully Inductive Knowledge Graph Completion
In knowledge graph completion (KGC), predicting triples involving emergi...
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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...
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09/19/2022
Neural-Symbolic Entangled Framework for Complex Query Answering
Answering complex queries over knowledge graphs (KG) is an important yet...
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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 ...
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09/13/2022
Ruleformer: Context-aware Differentiable Rule Mining over Knowledge Graph
Rule mining is an effective approach for reasoning over knowledge graph ...
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08/19/2022
Aspect-based Sentiment Classification with Sequential Cross-modal Semantic Graph
Multi-modal aspect-based sentiment classification (MABSC) is an emerging...
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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...
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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...
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06/08/2022
Disentangled Ontology Embedding for Zero-shot Learning
Knowledge Graph (KG) and its variant of ontology have been widely used f...
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05/13/2022
Blockaid: Data Access Policy Enforcement for Web Applications
Modern web applications serve large amounts of sensitive user data, acce...
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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....
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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...
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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...
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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...
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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 ...
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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...
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02/15/2022
Knowledge Graph Reasoning with Logics and Embeddings: Survey and Perspective
Knowledge graph (KG) reasoning is becoming increasingly popular in both ...
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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...
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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...
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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...
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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...
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12/08/2021
Improving Knowledge Graph Representation Learning by Structure Contextual Pre-training
Representation learning models for Knowledge Graphs (KG) have proven to ...
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12/01/2021
Molecular Contrastive Learning with Chemical Element Knowledge Graph
Molecular representation learning contributes to multiple downstream tas...
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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...
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10/04/2021
3D-Transformer: Molecular Representation with Transformer in 3D Space
Spatial structures in the 3D space are important to determine molecular ...
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08/20/2021
Knowledge Perceived Multi-modal Pretraining in E-commerce
In this paper, we address multi-modal pretraining of product data in the...
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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...
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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...
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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...
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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...
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10/30/2020
Logic-guided Semantic Representation Learning for Zero-Shot Relation Classification
Relation classification aims to extract semantic relations between entit...
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10/24/2020
FedE: Embedding Knowledge Graphs in Federated Setting
Knowledge graphs (KGs) consisting of triples are always incomplete, so i...
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10/10/2020
Barter Exchange via Friends' Friends
Barter exchange studies the setting where each agent owns a good, and th...
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09/18/2020
The Deep Learning Galerkin Method for the General Stokes Equations
The finite element method, finite difference method, finite volume metho...
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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...
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09/02/2020
Overcoming Negative Transfer: A Survey
Transfer learning aims to help the target task with little or no trainin...
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07/19/2020
Deep Representation Learning For Multimodal Brain Networks
Applying network science approaches to investigate the functions and ana...
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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...
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02/24/2020