Gastinger, Julia

6 publications

LoG 2025 Dynamic Representations of Global Crises: A Temporal Knowledge Graph for Conflicts, Trade and Value Networks Julia Gastinger, Timo Sztyler, Nils Steinert, Sabine Gründer-Fahrer, Michael Martin, Anett Schuelke, Heiner Stuckenschmidt

IJCAI 2024 History Repeats Itself: A Baseline for Temporal Knowledge Graph Forecasting Julia Gastinger, Christian Meilicke, Federico Errica, Timo Sztyler, Anett Schülke, Heiner Stuckenschmidt

NeurIPS 2024 TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs Julia Gastinger, Shenyang Huang, Mikhail Galkin, Erfan Loghmani, Ali Parviz, Farimah Poursafaei, Jacob Danovitch, Emanuele Rossi, Ioannis Koutis, Heiner Stuckenschmidt, Reihaneh Rabbany, Guillaume Rabusseau

ECML-PKDD 2023 Comparing Apples and Oranges? on the Evaluation of Methods for Temporal Knowledge Graph Forecasting Julia Gastinger, Timo Sztyler, Lokesh Sharma, Anett Schuelke, Heiner Stuckenschmidt

NeurIPSW 2022 On the Evaluation of Methods for Temporal Knowledge Graph Forecasting Julia Gastinger, Timo Sztyler, Lokesh Sharma, Anett Schuelke

ECML-PKDD 2022 ProcK: Machine Learning for Knowledge-Intensive Processes Tobias Jacobs, Jingyi Yu, Julia Gastinger, Timo Sztyler