ML Anthology

Scholtes, Ingo

7 publications

TMLR 2026 From Link Prediction to Forecasting: Addressing Challenges in Batch-Based Temporal Graph Learning Moritz Lampert, Christopher Blöcker, Ingo Scholtes
ICLRW 2024 Cell-Type Prediction in Spatial Transcriptomics Data Using Graph Neural Networks Moritz Lampert, Christopher Blöcker, Ingo Scholtes, Dominic Grün
NeurIPS 2024 The mAP Equation Goes Neural: Mapping Network Flows with Graph Neural Networks Christopher Blöcker, Chester Tan, Ingo Scholtes
NeurIPS 2024 Using Time-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs Franziska Heeg, Ingo Scholtes
NeurIPSW 2023 Using Causality-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs Franziska Heeg, Ingo Scholtes
LoG 2022 De Bruijn Goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs Lisi Qarkaxhija, Vincenzo Perri, Ingo Scholtes
LoG 2022 Similarity-Based Link Prediction from Modular Compression of Network Flows Christopher Blöcker, Jelena Smiljanić, Ingo Scholtes, Martin Rosvall