Publications

PhD thesis · Vrije Universiteit Amsterdam

Knowledge Graphs & Transformers for Hypothesis Generation: Accelerating Scientific Discovery in the Era of Artificial Intelligence

Dimitrios Alivanistos

VU DOI

Preprint · arXiv

Automatic Evaluation Metrics for Artificially Generated Scientific Research

Niklas Hopner, Leon Eshuijs, Dimitrios Alivanistos, Giacomo Zamprogno, Ilaria Tiddi

arXiv DOI

Conference paper · NSLP 2024

The Effect of Knowledge Graph Schema on Classifying Future Research Suggestions

Dimitrios Alivanistos, Seth van der Bijl, Michael Cochez, Frank van Harmelen

Springer DOI

Journal article · Journal of Biomedical Semantics

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

Daniel Daza, Dimitrios Alivanistos, Payal Mitra, Thom Pijnenburg, Michael Cochez, Paul Groth

Journal DOI arXiv

Book chapter · Compendium of Neurosymbolic Artificial Intelligence

Approximate Answering of Graph Queries

Michael Cochez, Dimitrios Alivanistos, Erik Arakelyan, Max Berrendorf, Daniel Daza, Mikhail Galkin, Pasquale Minervini, Mathias Niepert, Hongyu Ren

IOS Press arXiv

Conference paper · ICLR 2022

Query Embedding on Hyper-Relational Knowledge Graphs

Dimitrios Alivanistos, Max Berrendorf, Michael Cochez, Mikhail Galkin

OpenReview arXiv Code

Workshop paper · LM-KBC at ISWC 2022

Prompting as Probing: Using Language Models for Knowledge Base Construction

Dimitrios Alivanistos, Selene Baez Santamaria, Michael Cochez, Jan-Christoph Kalo, Emile van Krieken, Thiviyan Thanapalasingam

CEUR arXiv

Workshop paper · AAAI Spring Symposium: MAKE 2022

Potential Energy to Improve Link Prediction With Relational Graph Neural Networks

Simone Colombo, Dimitrios Alivanistos, Michael Cochez

CEUR DBLP

Conference paper · Graph Structures for Knowledge Representation and Reasoning

Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification

Ruud van Bakel, Teodor Aleksiev, Daniel Daza, Dimitrios Alivanistos, Michael Cochez

Springer DOI arXiv

Journal article · IEEE Access

Revealing Spatio-Temporal Patterns and Influencing Factors of Dockless Bike Sharing Demand

Pengfei Lin, Jian-cheng Weng, Song Hu, Dimitrios Alivanistos, Xin Li, Baocai Yin

DOI DBLP

Journal article · Physica A: Statistical Mechanics and its Applications

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

Pengfei Lin, Jiancheng Weng, Yu Fu, Dimitrios Alivanistos, Baocai Yin

DOI Record

Journal article · Networks and Spatial Economics

Impact of Weather Conditions and Built Environment on Public Bikesharing Trips in Beijing

Pengfei Lin, Jiancheng Weng, Quan Liang, Dimitrios Alivanistos, Siyong Ma

DOI Record

Journal article · Science Progress

Bus passenger flow congestion risk evaluation model based on the Pressure-State-Response framework: A case study in Beijing

Siyong Ma, Jiancheng Weng, Chang Wang, Dimitrios Alivanistos, Pengfei Lin

Journal DOI

Journal article · Sustainability

Identifying and Segmenting Commuting Behavior Patterns Based on Smart Card Data and Travel Survey Data

Pengfei Lin, Jiancheng Weng, Dimitrios Alivanistos, Siyong Ma, Baocai Yin