Julia Gastinger

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 13

Top Topics

Temporal Knowledge

Top Venues

Publications

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