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08/12/2023
Approximate Answering of Graph Queries
Knowledge graphs (KGs) are inherently incomplete because of incomplete w...
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06/06/2023
BioBLP: A Modular Framework for Learning on Multimodal Biomedical Knowledge Graphs
Knowledge graphs (KGs) are an important tool for representing complex re...
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03/26/2023
Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases
Complex logical query answering (CLQA) is a recently emerged task of gra...
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02/09/2023
A Biomedical Knowledge Graph for Biomarker Discovery in Cancer
Structured and unstructured data and facts about drugs, genes, protein, ...
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12/25/2022
Explainable AI for Bioinformatics: Methods, Tools, and Applications
Artificial intelligence(AI) systems based on deep neural networks (DNNs)...
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12/05/2022
A Machine with Short-Term, Episodic, and Semantic Memory Systems
Inspired by the cognitive science theory of the explicit human memory sy...
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08/23/2022
Prompting as Probing: Using Language Models for Knowledge Base Construction
Language Models (LMs) have proven to be useful in various downstream app...
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06/03/2022
QAGCN: A Graph Convolutional Network-based Multi-Relation Question Answering System
Answering multi-relation questions over knowledge graphs is a challengin...
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04/04/2022
A Machine With Human-Like Memory Systems
Inspired by the cognitive science theory, we explicitly model an agent w...
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03/05/2022
Scaling R-GCN Training with Graph Summarization
Training of Relation Graph Convolutional Networks (R-GCN) does not scale...
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09/22/2021
Updating Embeddings for Dynamic Knowledge Graphs
Data in Knowledge Graphs often represents part of the current state of t...
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06/15/2021
Query Embedding on Hyper-relational Knowledge Graphs
Multi-hop logical reasoning is an established problem in the field of re...
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02/26/2021
Secure Evaluation of Knowledge Graph Merging Gain
Finding out the differences and commonalities between the knowledge of t...
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02/22/2021
Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification
Large, heterogeneous datasets are characterized by missing or even erron...
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11/06/2020
Complex Query Answering with Neural Link Predictors
Neural link predictors are immensely useful for identifying missing edge...
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10/07/2020
Inductive Entity Representations from Text via Link Prediction
We present a method for learning representations of entities, that uses ...
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04/11/2020
Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network
Exponential growths of social media and micro-blogging sites not only pr...
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04/09/2020
DeepCOVIDExplainer: Explainable COVID-19 Predictions Based on Chest X-ray Images
Amid the coronavirus disease(COVID-19) pandemic, humanity experiences a ...
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03/04/2020
Knowledge Graphs
In this paper we provide a comprehensive introduction to knowledge graph...
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02/06/2020
Message Passing for Query Answering over Knowledge Graphs
Logic-based systems for query answering over knowledge graphs return onl...
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12/23/2019
Privacy Attacks on Network Embeddings
Data ownership and data protection are increasingly important topics wit...
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09/09/2019
OncoNetExplainer: Explainable Predictions of Cancer Types Based on Gene Expression Data
The discovery of important biomarkers is a significant step towards unde...
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09/06/2019
Structured Query Construction via Knowledge Graph Embedding
In order to facilitate the accesses of general users to knowledge graphs...
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08/19/2019
Message Passing for Complex Question Answering over Knowledge Graphs
Question answering over knowledge graphs (KGQA) has evolved from simple ...
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08/07/2019
Transferring knowledge from monitored to unmonitored areas for forecasting parking spaces
Smart cities around the world have begun monitoring parking areas in ord...
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08/04/2019
Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network
Interference between pharmacological substances can cause serious medica...
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03/26/2019
Linked Open Data Validity -- A Technical Report from ISWS 2018
Linked Open Data (LOD) is the publicly available RDF data in the Web. Ea...
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07/31/2018
Leveraging Knowledge Graph Embedding Techniques for Industry 4.0 Use Cases
Industry is evolving towards Industry 4.0, which holds the promise of in...
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07/31/2018
A First Experiment on Including Text Literals in KGloVe
Graph embedding models produce embedding vectors for entities and relati...
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06/17/2018
Measuring Semantic Coherence of a Conversation
Conversational systems have become increasingly popular as a way for hum...
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05/30/2018
Recurrent Deep Embedding Networks for Genotype Clustering and Ethnicity Prediction
The understanding of variations in genome sequences assists us in identi...
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02/19/2018
On the computation of Shannon Entropy from Counting Bloom Filters
In this short note a method for computing the naive plugin estimator of ...
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07/16/2016
