Ghent University Academic Bibliography

Your filters: cql: author exact CCDC061E-B0DB-11E5-A24A-8CD8B4D1D7B1

Add to list
- Journal Article
- A1
- open access
Exploring the performance of continuous-time dynamic link prediction algorithms

Raphaël Romero (UGent) , Maarten Buyl (UGent) , Tijl De Bie (UGent) and Jefrey Lijffijt (UGent)

(2024) APPLIED SCIENCES-BASEL. 14(8).
Add to list
- Journal Article
- A1
- open access
Scalable job recommendation with lower congestion using optimal transport

Yoosof Mashayekhi (UGent) , Bo Kang (UGent) , Jefrey Lijffijt (UGent) and Tijl De Bie (UGent)

(2024) IEEE ACCESS. 12. p.55491-55505
Add to list
- Journal Article
- A1
- open access
FEIR : quantifying and reducing envy and inferiority for fair recommendation of limited resources

Nan Li (UGent) , Bo Kang (UGent) , Jefrey Lijffijt (UGent) and Tijl De Bie (UGent)

(2024) ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY. 15(4). p.1-24
Add to list
- Journal Article
- A1
- open access
GREASE : graph imbalance reduction by adding sets of edges

Yoosof Mashayekhi (UGent) , Bo Kang (UGent) , Jefrey Lijffijt (UGent) and Tijl De Bie (UGent)

(2024) IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING. 36(4). p.1611-1623
Add to list
- Conference Paper
- P1
Pattern or artifact? Interactively exploring embedding quality with TRACE

Edith Heiter (UGent) , Liesbet Martens (UGent) , Ruth Seurinck (UGent) , Martin Guilliams (UGent) , Tijl De Bie (UGent) , Yvan Saeys (UGent) and Jefrey Lijffijt (UGent)

(2024) MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES-RESEARCH TRACK AND DEMO TRACK, PT VIII, ECML PKDD 2024. In Lecture Notes in Computer Science 14948. p.379-382
Add to list
- Journal Article
- A1
- open access
Incorporating topological priors into low-dimensional visualizations through topological regularization

Edith Heiter (UGent) , Robin Vandaele, Tijl De Bie (UGent) , Yvan Saeys (UGent) and Jefrey Lijffijt (UGent)

(2024) IEEE ACCESS. 12. p.129541-129573
Add to list
- Journal Article
- A1
- open access
A challenge-based survey of e-recruitment recommendation systems

Yoosof Mashayekhi (UGent) , Nan Li (UGent) , Bo Kang (UGent) , Jefrey Lijffijt (UGent) and Tijl De Bie (UGent)

(2024) ACM COMPUTING SURVEYS. 56(10).
Add to list
- Miscellaneous
- open access
Large language models reflect the ideology of their creators

Maarten Buyl (UGent) , Alexander Rogiers (UGent) , Sander Noels (UGent) , Iris Dominguez-Catena, Edith Heiter (UGent) , Raphaël Romero (UGent) , Iman Johary (UGent) , Alexandru-Cristian Mara (UGent) , Jefrey Lijffijt (UGent) and Tijl De Bie (UGent)

(2024) ARXIV.
Add to list
- Journal Article
- A1
- open access
An empirical evaluation of network representation learning methods

Alexandru-Cristian Mara (UGent) , Jefrey Lijffijt (UGent) and Tijl De Bie (UGent)

(2024) BIG DATA. 12(6). p.518-537
Add to list
- Journal Article
- A1
- open access
Gaussian embedding of temporal networks

Raphaël Romero (UGent) , Jefrey Lijffijt (UGent) , Riccardo Rastelli, Marco Corneli and Tijl De Bie (UGent)

(2023) IEEE ACCESS. 11. p.117971-117983
Add to list
- Conference Paper
- C1
- open access
FEIR : quantifying and reducing envy and inferiority for fair recommendation of limited resources

Nan Li (UGent) , Bo Kang (UGent) , Jefrey Lijffijt (UGent) and Tijl De Bie (UGent)

(2023) RECSYS in HR 2023 : the 3rd Workshop on Recommender Systems for Human Resources (RecSys in HR 2023), Proceedings. In CEUR workshop proceedings 3490.
Add to list
- Conference Paper
- P1
- open access
Revised conditional t-SNE : looking beyond the nearest neighbors

Edith Heiter (UGent) , Bo Kang (UGent) , Ruth Seurinck (UGent) and Jefrey Lijffijt (UGent)

(2023) Advances in Intelligent Data Analysis XXI : 21st International Symposium on Intelligent Data Analysis, IDA 2023, Proceedings. In Lecture notes in computer science 13876. p.169-181
Add to list
- Conference Paper
- P1
- open access
ReCon : reducing congestion in job recommendation using optimal transport

Yoosof Mashayekhi (UGent) , Bo Kang (UGent) , Jefrey Lijffijt (UGent) and Tijl De Bie (UGent)

(2023) Proceedings of the 17th ACM Conference on Recommender Systems (RecSys 2023). p.696-701
Add to list
- Miscellaneous
Topologically regularized data embeddings

Edith Heiter (UGent) , Robin Vandaele, Tijl De Bie (UGent) , Yvan Saeys (UGent) and Jefrey Lijffijt (UGent)

(2023)
Add to list
- Journal Article
- A1
- open access
EvalNE : a framework for network embedding evaluation

Alexandru-Cristian Mara (UGent) , Jefrey Lijffijt (UGent) and Tijl De Bie (UGent)

(2022) SOFTWAREX. 17.
Add to list
- Miscellaneous
A challenge-based survey of e-recruitment recommendation systems

Yoosof Mashayekhi (UGent) , Nan Li (UGent) , Bo Kang (UGent) , Jefrey Lijffijt (UGent) and Tijl De Bie (UGent)

(2022)
Add to list
- Conference Paper
- C1
A systematic evaluation of node embedding robustness

Alexandru-Cristian Mara (UGent) , Jefrey Lijffijt (UGent) , Stephan Günnemann and Tijl De Bie (UGent)

(2022) PROCEEDINGS OF MACHINE LEARNING RESEARCH. 198.
Add to list
- Journal Article
- A4
- open access
Introduction to the special section on AI in manufacturing : current trends and challenges

Jefrey Lijffijt (UGent) , Dimitra Gkorou, Pieter Van Hertum, Alexander Ypma, Mykola Pechenizkiy and Joaquin Vanschoren

(2022) SIGKDD EXPLORATIONS. 24(2). p.81-85
Add to list
- Journal Article
- A1
- open access
Evaluating representation learning and graph layout methods for visualization

Edith Heiter (UGent) , Bo Kang (UGent) , Tijl De Bie (UGent) and Jefrey Lijffijt (UGent)

(2022) IEEE COMPUTER GRAPHICS AND APPLICATIONS. 42(3). p.19-28
Add to list
- Conference Paper
- C1
Topologically regularized data embeddings

Robin Vandaele, Bo Kang (UGent) , Jefrey Lijffijt (UGent) , Tijl De Bie (UGent) and Yvan Saeys (UGent)

(2022) International Conference on Learning Representations (ICLR 2022), Proceedings.
Add to list
- Journal Article
- A1
- open access
Conditional t-SNE : more informative t-SNE embeddings

Bo Kang (UGent) , Darío García García, Jefrey Lijffijt (UGent) , Raúl Santos-Rodríguez and Tijl De Bie (UGent)

(2021) MACHINE LEARNING. 110(10). p.2905-2940
Add to list
- Journal Article
- A1
- open access
Opinion dynamics with backfire effect and biased assimilation

Xi Chen, Panayiotis Tsaparas, Jefrey Lijffijt (UGent) and Tijl De Bie (UGent)

(2021) PLOS ONE. 16(9).
Add to list
- Journal Article
- A1
- open access
ALPINE : active link prediction using network embedding

Xi Chen, Bo Kang (UGent) , Jefrey Lijffijt (UGent) and Tijl De Bie (UGent)

(2021) APPLIED SCIENCES-BASEL. 11(11).
Add to list
- Journal Article
- A1
- open access
FONDUE : a framework for node disambiguation and deduplication using network embeddings

Ahmad Mel (UGent) , Bo Kang (UGent) , Jefrey Lijffijt (UGent) and Tijl De Bie (UGent)

(2021) APPLIED SCIENCES-BASEL. 11(21).
Add to list
- Conference Paper
- P1
Conditional t-SNE : more informative t-SNE embeddings

Bo Kang (UGent) , Dario Garcia Garcia, Jefrey Lijffijt (UGent) , Raul Santos-Rodriguez and Tijl De Bie (UGent)

(2021) 2021 IEEE 8TH INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (DSAA).
Add to list
- Conference Paper
- C1
- open access
Quantifying and reducing imbalance in networks

Yoosof Mashayekhi (UGent) , Bo Kang (UGent) , Jefrey Lijffijt (UGent) and Tijl De Bie (UGent)

(2021) FEAST, ECML-PKDD 2021 Workshop, Proceedings.
Add to list
- Conference Paper
- P1
Adversarial robustness of probabilistic network embedding for link prediction

Xi Chen, Bo Kang (UGent) , Jefrey Lijffijt (UGent) and Tijl De Bie (UGent)

(2021) ECML PKDD 2021 Workshops, Proceedings, Part II. In Communications in Computer and Information Science 1525. p.22-38
Add to list
- Conference Paper
- P1
- open access
Explanations for network embedding-based link predictions

Bo Kang (UGent) , Jefrey Lijffijt (UGent) and Tijl De Bie (UGent)

(2021) MACHINE LEARNING AND PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2021, PT I. In Communications in Computer and Information Science 1524. p.473-488
Add to list
- Miscellaneous
- open access
ExClus : explainable clustering on low-dimensional data representations

Xander Vankwikelberge, Bo Kang (UGent) , Edith Heiter (UGent) and Jefrey Lijffijt (UGent)

(2021)
Add to list
- Conference Paper
- C1
- open access
Quantifying and reducing imbalance in networks

Yoosof Mashayekhi (UGent) , Bo Kang (UGent) , Jefrey Lijffijt (UGent) and Tijl De Bie (UGent)

(2021) Proceedings of the Workshop on Recommender Systems for Human Resources (RecSys in HR 2021), co-located with the 15th ACM Conference on Recommender Systems (RecSys 2021). In CEUR Workshop Proceedings 2967.
Add to list
- Journal Article
- A1
- open access
A constrained randomization approach to interactive visual data exploration with subjective feedback

Bo Kang (UGent) , Kai Puolamäki, Jefrey Lijffijt (UGent) and Tijl De Bie (UGent)

(2020) IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING. 32(9). p.1666-1679
Add to list
- Conference Paper
- P1
- open access
Explainable subgraphs with surprising densities : a subgroup discovery approach

Junning Deng, Bo Kang (UGent) , Jefrey Lijffijt (UGent) and Tijl De Bie (UGent)

(2020) PROCEEDINGS OF THE 2020 SIAM INTERNATIONAL CONFERENCE ON DATA MINING (SDM). p.586-594
Add to list
- Journal Article
- A1
- open access
SIAS-miner : mining subjectively interesting attributed subgraphs

Anes Bendimerad, Ahmad Mel (UGent) , Jefrey Lijffijt (UGent) , Marc Plantevit, Celine Robardet and Tijl De Bie (UGent)

(2020) DATA MINING AND KNOWLEDGE DISCOVERY. 34. p.355-393
Add to list
- Journal Article
- A1
- open access
Relaxing the strong triadic closure problem for edge strength inference

Florian Adriaens, Tijl De Bie (UGent) , Aristides Gionis, Jefrey Lijffijt (UGent) , Antonis Matakos and Polina Rozenshtein

(2020) DATA MINING AND KNOWLEDGE DISCOVERY. 34. p.611-651
Add to list
- Miscellaneous
- open access
Network representation learning for link prediction : are we improving upon simple heuristics?

Alexandru-Cristian Mara (UGent) , Jefrey Lijffijt (UGent) and Tijl De Bie (UGent)

(2020)
Add to list
- Journal Article
- A1
- open access
Interactive visual data exploration with subjective feedback : an information-theoretic approach

Kai Puolamäki, Emilia Oikarinen, Bo Kang (UGent) , Jefrey Lijffijt (UGent) and Tijl De Bie (UGent)

(2020) DATA MINING AND KNOWLEDGE DISCOVERY. 34(1). p.21-49
Add to list
- Conference Paper
- P1
FONDUE : framework for node disambiguation using network embeddings

Ahmad Mel (UGent) , Bo Kang (UGent) , Jefrey Lijffijt (UGent) and Tijl De Bie (UGent)

(2020) 2020 IEEE 7TH INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (DSAA 2020). In Proceedings of the International Conference on Data Science and Advanced Analytics p.158-167
Add to list
- Conference Paper
- P1
- open access
Block-approximated exponential random graphs

Florian Adriaens, Alexandru-Cristian Mara (UGent) , Jefrey Lijffijt (UGent) and Tijl De Bie (UGent)

(2020) 2020 IEEE 7TH INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (DSAA 2020). In Proceedings of the International Conference on Data Science and Advanced Analytics p.70-80
Add to list
- Journal Article
- A1
Mining explainable local and global subgraph patterns with surprising densities

Junning Deng, Bo Kang (UGent) , Jefrey Lijffijt (UGent) and Tijl De Bie (UGent)

(2020) DATA MINING AND KNOWLEDGE DISCOVERY. 35(1). p.321-371
Add to list
- Conference Paper
- P1
CSNE : conditional signed network embedding

Alexandru-Cristian Mara (UGent) , Yoosof Mashayekhi (UGent) , Jefrey Lijffijt (UGent) and Tijl De Bie (UGent)

(2020) CIKM '20 : PROCEEDINGS OF THE 29TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT. p.1105-1114
Add to list
- Miscellaneous
- open access
CSNE : Conditional Signed Network Embedding

Alexandru-Cristian Mara (UGent) , Yoosof Mashayekhi (UGent) , Jefrey Lijffijt (UGent) and Tijl De Bie (UGent)

(2020) arXiv.
Add to list
- Miscellaneous
- open access
ALPINE : Active Link Prediction using Network Embedding

Xi Chen, Bo Kang (UGent) , Jefrey Lijffijt (UGent) and Tijl De Bie (UGent)

(2020) arXiv.
Add to list
- Conference Paper
- P1
- open access
Benchmarking network embedding models for link prediction : are we making progress?

Alexandru-Cristian Mara (UGent) , Jefrey Lijffijt (UGent) and Tijl De Bie (UGent)

(2020) 2020 IEEE 7TH INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (DSAA 2020). In Proceedings of the International Conference on Data Science and Advanced Analytics p.138-147
Add to list
- Conference Paper
- P1
- open access
Gibbs sampling subjectively interesting tiles

Anes Bendimerad, Jefrey Lijffijt (UGent) , Marc Plantevit, Celine Robardet and Tijl De Bie (UGent)

(2020) ADVANCES IN INTELLIGENT DATA ANALYSIS XVIII, IDA 2020. In Lecture Notes in Computer Science 12080. p.80-92
Add to list
- Journal Article
- A2
- open access
History of English as punctuated equilibria? A meta-analysis of the rate of linguistic change in Middle English

Terttu Nevalainen, Tanja Säily, Turo Vartiainen, Aatu Liimatta and Jefrey Lijffijt (UGent)

(2020) JOURNAL OF HISTORICAL SOCIOLINGUISTICS. 6(2).
Add to list
- Journal Article
- A1
- open access
Subjectively interesting connecting trees and forests

Florian Adriaens, Jefrey Lijffijt (UGent) and Tijl De Bie (UGent)

(2019) DATA MINING AND KNOWLEDGE DISCOVERY. 33(4). p.1088-1124
Add to list
- Conference Paper
- P1
- open access
Contrastive antichains in hierarchies

Anes Bendimerad, Jefrey Lijffijt (UGent) , Marc Plantevit, Celine Robardet and Tijl De Bie (UGent)

(2019) KDD'19: PROCEEDINGS OF THE 25TH ACM SIGKDD INTERNATIONAL CONFERENCCE ON KNOWLEDGE DISCOVERY AND DATA MINING. p.294-304
Add to list
- Miscellaneous
- open access
EvalNE : a framework for evaluating network embeddings on link prediction

Alexandru-Cristian Mara (UGent) , Jefrey Lijffijt (UGent) and Tijl De Bie (UGent)

(2019) p.1-5
Add to list
- Conference Paper
- P1
Discovering interesting cycles in directed graphs

Florian Adriaens, Cigdem Aslay, Tijl De Bie (UGent) , Aristides Gionis and Jefrey Lijffijt (UGent)

(2019) PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM '19). p.1191-1200
Add to list
- Conference Paper
- C1
- open access
EvalNE : a framework for Evaluating Network Embeddings on link prediction

Alexandru-Cristian Mara (UGent) , Jefrey Lijffijt (UGent) and Tijl De Bie (UGent)

(2019) Proceedings of the 1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2019) co-located with SIAM International Conference on Data Mining (SDM 2019). In CEUR workshop proceedings 2436. p.5-13

Exploring the performance of continuous-time dynamic link prediction algorithms

Scalable job recommendation with lower congestion using optimal transport

FEIR : quantifying and reducing envy and inferiority for fair recommendation of limited resources

GREASE : graph imbalance reduction by adding sets of edges

Pattern or artifact? Interactively exploring embedding quality with TRACE

Incorporating topological priors into low-dimensional visualizations through topological regularization

A challenge-based survey of e-recruitment recommendation systems

Large language models reflect the ideology of their creators

An empirical evaluation of network representation learning methods

Gaussian embedding of temporal networks

FEIR : quantifying and reducing envy and inferiority for fair recommendation of limited resources

Revised conditional t-SNE : looking beyond the nearest neighbors

ReCon : reducing congestion in job recommendation using optimal transport

Topologically regularized data embeddings

EvalNE : a framework for network embedding evaluation

A challenge-based survey of e-recruitment recommendation systems

A systematic evaluation of node embedding robustness

Introduction to the special section on AI in manufacturing : current trends and challenges

Evaluating representation learning and graph layout methods for visualization

Topologically regularized data embeddings

Conditional t-SNE : more informative t-SNE embeddings

Opinion dynamics with backfire effect and biased assimilation

ALPINE : active link prediction using network embedding

FONDUE : a framework for node disambiguation and deduplication using network embeddings

Conditional t-SNE : more informative t-SNE embeddings

Quantifying and reducing imbalance in networks

Adversarial robustness of probabilistic network embedding for link prediction

Explanations for network embedding-based link predictions

ExClus : explainable clustering on low-dimensional data representations

Quantifying and reducing imbalance in networks

A constrained randomization approach to interactive visual data exploration with subjective feedback

Explainable subgraphs with surprising densities : a subgroup discovery approach

SIAS-miner : mining subjectively interesting attributed subgraphs

Relaxing the strong triadic closure problem for edge strength inference

Network representation learning for link prediction : are we improving upon simple heuristics?

Interactive visual data exploration with subjective feedback : an information-theoretic approach

FONDUE : framework for node disambiguation using network embeddings

Block-approximated exponential random graphs

Mining explainable local and global subgraph patterns with surprising densities

CSNE : conditional signed network embedding

CSNE : Conditional Signed Network Embedding

ALPINE : Active Link Prediction using Network Embedding

Benchmarking network embedding models for link prediction : are we making progress?

Gibbs sampling subjectively interesting tiles

History of English as punctuated equilibria? A meta-analysis of the rate of linguistic change in Middle English

Subjectively interesting connecting trees and forests

Contrastive antichains in hierarchies

EvalNE : a framework for evaluating network embeddings on link prediction

Discovering interesting cycles in directed graphs

EvalNE : a framework for Evaluating Network Embeddings on link prediction