Dimitrios Alivanistos

About Dimitrios Alivanistos

Dimitrios Alivanistos, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Vrije Universiteit Amsterdam, specializes in the field of artificial intelligence, knowledge graphs, representation learning, graph ML, NLP.

His recent articles reflect a diverse array of research interests and contributions to the field:

BioBLP: a modular framework for learning on multimodal biomedical knowledge graphs

Approximate answering of graph queries

Approximate Query Answering with Neural Query Embedding Methods

Prompting as probing: Using language models for knowledge base construction

Potential Energy to Improve Link Prediction With Relational Graph Neural Networks.

Query embedding on hyper-relational knowledge graphs

Approximate knowledge graph query answering: from ranking to binary classification

Impact of weather conditions and built environment on public bikesharing trips in Beijing

Dimitrios Alivanistos Information

University

Position

___

Citations(all)

171

Citations(since 2020)

171

Cited By

19

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Dimitrios Alivanistos Skills & Research Interests

artificial intelligence

knowledge graphs

representation learning

graph ML

NLP

Top articles of Dimitrios Alivanistos

Title

Journal

Author(s)

Publication Date

BioBLP: a modular framework for learning on multimodal biomedical knowledge graphs

Journal of Biomedical Semantics

Daniel Daza

Dimitrios Alivanistos

Payal Mitra

Thom Pijnenburg

Michael Cochez

...

2023/12/8

Approximate answering of graph queries

Compendium of Neurosymbolic Artificial Intelligence, IOS Press

Michael Cochez

Dimitrios Alivanistos

Erik Arakelyan

Max Berrendorf

Daniel Daza

...

2023/8/12

Approximate Query Answering with Neural Query Embedding Methods

Proceedings of the 6th Annual RELX Search Summit

Daniel Daza

Dimitrios Alivanistos

Michael Cochez

2022/9/22

Prompting as probing: Using language models for knowledge base construction

arXiv preprint arXiv:2208.11057

Dimitrios Alivanistos

Selene Báez Santamaría

Michael Cochez

Jan-Christoph Kalo

Emile van Krieken

...

2022/8/23

Potential Energy to Improve Link Prediction With Relational Graph Neural Networks.

Simone Colombo

Dimitrios Alivanistos

Michael Cochez

2022/3/21

Query embedding on hyper-relational knowledge graphs

Dimitrios Alivanistos

Max Berrendorf

Michael Cochez

Mikhail Galkin

2022

Approximate knowledge graph query answering: from ranking to binary classification

Ruud van Bakel

Teodor Aleksiev

Daniel Daza

Dimitrios Alivanistos

Michael Cochez

2021

Impact of weather conditions and built environment on public bikesharing trips in Beijing

Networks and spatial economics

Pengfei Lin

Jiancheng Weng

Quan Liang

Dimitrios Alivanistos

Siyong Ma

2020/3

Bus passenger flow congestion risk evaluation model based on the pressure-state-response framework: A case study in Beijing

Science progress

Siyong Ma

Jiancheng Weng

Chang Wang

Dimitrios Alivanistos

Pengfei Lin

2020/3

Identifying and segmenting commuting behavior patterns based on smart card data and travel survey data

Sustainability

Pengfei Lin

Jiancheng Weng

Dimitrios Alivanistos

Siyong Ma

Baocai Yin

2020/6/19

Study on the topology and dynamics of the rail transit network based on automatic fare collection data

Physica A: Statistical Mechanics and its Applications

Pengfei Lin

Jiancheng Weng

Yu Fu

Dimitrios Alivanistos

Baocai Yin

2020/5/1

Revealing spatio-temporal patterns and influencing factors of dockless bike sharing demand

Ieee Access

Pengfei Lin

Jiancheng Weng

Song Hu

Dimitrios Alivanistos

Xin Li

...

2020/4/2

See List of Professors in Dimitrios Alivanistos University(Vrije Universiteit Amsterdam)

Co-Authors

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