Julia Gastinger

18 papers A* 2B 3Journal 8Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
CountTRuCoLa: Rule Confidence Learning for Temporal Knowledge Graph Forecasting.
CoRR
Julia Gastinger, Christian Meilicke, Heiner Stuckenschmidt
2025 — conf
Temporal Graph Learning Workshop.
KDD (2)
Shenyang Huang, Daniele Zambon, Andrea Cini, Farimah Poursafaei, Jacob Chmura, Julia Gastinger, Reihaneh Rabbany, Michael M. Bronstein
2024 — conf
Dynamic Representations of Global Crises: A Temporal Knowledge Graph for Conflicts, Trade and Value Networks.
LoG
Julia Gastinger, Timo Sztyler, Nils Steinert, Sabine Gründer-Fahrer, Michael Martin, Anett Schuelke, Heiner Stuckenschmidt
2024 A* conf
History Repeats Itself: A Baseline for Temporal Knowledge Graph Forecasting.
IJCAI
Julia Gastinger, Christian Meilicke, Federico Errica, Timo Sztyler, Anett Schülke, Heiner Stuckenschmidt
2024 J jnl
History repeats Itself: A Baseline for Temporal Knowledge Graph Forecasting.
CoRR
Julia Gastinger, Christian Meilicke, Federico Errica, Timo Sztyler, Anett Schuelke, Heiner Stuckenschmidt
2024 A* conf
TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs.
NeurIPS
Julia Gastinger, Shenyang Huang, Michael Galkin, Erfan Loghmani, Ali Parviz, Farimah Poursafaei, Jacob Danovitch, Emanuele Rossi, Ioannis Koutis, Heiner Stuckenschmidt, Reihaneh Rabbany, Guillaume Rabusseau
2024 J jnl
TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs.
CoRR
Julia Gastinger, Shenyang Huang, Mikhail Galkin, Erfan Loghmani, Ali Parviz, Farimah Poursafaei, Jacob Danovitch, Emanuele Rossi, Ioannis Koutis, Heiner Stuckenschmidt, Reihaneh Rabbany, Guillaume Rabusseau
2023 — conf
Comparing Apples and Oranges? On the Evaluation of Methods for Temporal Knowledge Graph Forecasting.
ECML/PKDD (3)
Julia Gastinger, Timo Sztyler, Lokesh Sharma, Anett Schuelke, Heiner Stuckenschmidt
2023 — conf
Dynamic Representations of Global Crises: Creation and Analysis of a Temporal Knowledge Graph for Conflicts, Trade and Value Networks.
D2R2
Julia Gastinger, Nils Steinert, Sabine Gründer-Fahrer, Michael Martin
2022 J jnl
Human-Centric Research for NLP: Towards a Definition and Guiding Questions.
CoRR
Bhushan Kotnis, Kiril Gashteovski, Julia Gastinger, Giuseppe Serra, Francesco Alesiani, Timo Sztyler, Ammar Shaker, Na Gong, Carolin Lawrence, Zhao Xu
2022 — conf
ProcK: Machine Learning for Knowledge-Intensive Processes.
ECML/PKDD (2)
Tobias Jacobs, Jingyi Yu, Julia Gastinger, Timo Sztyler
2021 B conf
A study on Ensemble Learning for Time Series Forecasting and the need for Meta-Learning.
IJCNN
Julia Gastinger, Sébastien Nicolas, Dusica Stepic, Mischa Schmidt, Anett Schülke
2021 J jnl
A study on Ensemble Learning for Time Series Forecasting and the need for Meta-Learning.
CoRR
Julia Gastinger, Sébastien Nicolas, Dusica Stepic, Mischa Schmidt, Anett Schülke
2021 J jnl
ProcK: Machine Learning for Knowledge-Intensive Processes.
CoRR
Tobias Jacobs, Jingyi Yu, Julia Gastinger, Timo Sztyler
2020 B conf
HAMLET - A Learning Curve-Enabled Multi-Armed Bandit for Algorithm Selection.
IJCNN
Mischa Schmidt, Julia Gastinger, Sebastien Nicolas, Anett Schülke
2020 J jnl
HAMLET - A Learning Curve-Enabled Multi-Armed Bandit for Algorithm Selection.
CoRR
Mischa Schmidt, Julia Gastinger, Sebastien Nicolas, Anett Schülke
2019 B conf
On the Performance of Differential Evolution for Hyperparameter Tuning.
IJCNN
Mischa Schmidt, Shahd Safarani, Julia Gastinger, Tobias Jacobs, Sebastien Nicolas, Anett Schülke
2019 J jnl
On the Performance of Differential Evolution for Hyperparameter Tuning.
CoRR
Mischa Schmidt, Shahd Safarani, Julia Gastinger, Tobias Jacobs, Sebastien Nicolas, Anett Schülke