:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Lampert, Moritz, Blöcker, Christopher, Scholtes, Ingo
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2406.04897
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks
by: Blöcker, Christopher, et al.
Published: (2023)

Deep Graph Learning will stall without Network Science
by: Blöcker, Christopher, et al.
Published: (2025)

MDL-Pool: Adaptive Multilevel Graph Pooling Based on Minimum Description Length
by: von Pichowski, Jan, et al.
Published: (2024)

The Role of Node Features in Graph Pooling
by: von Pichowski, Jan, et al.
Published: (2026)

Using Time-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs
by: Heeg, Franziska, et al.
Published: (2023)

Flow Divergence: Comparing Maps of Flows with Relative Entropy
by: Blöcker, Christopher, et al.
Published: (2024)

Link Prediction with Untrained Message Passing Layers
by: Qarkaxhija, Lisi, et al.
Published: (2024)

Weisfeiler and Leman Follow the Arrow of Time: Expressive Power of Message Passing in Temporal Event Graphs
by: Heeg, Franziska, et al.
Published: (2025)

Inference of Sequential Patterns for Neural Message Passing in Temporal Graphs
by: von Pichowski, Jan, et al.
Published: (2024)

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams
by: Zhou, Yang, et al.
Published: (2025)

Temporal Knowledge Graph Hyperedge Forecasting: Exploring Entity-to-Category Link Prediction
by: Markai, Edward, et al.
Published: (2025)

Mini-Batch Class Composition Bias in Link Prediction
by: Maguire, Kieran, et al.
Published: (2026)

TAMI: Taming Heterogeneity in Temporal Interactions for Temporal Graph Link Prediction
by: Yu, Zhongyi, et al.
Published: (2025)

Addressing Challenges in Time Series Forecasting: A Comprehensive Comparison of Machine Learning Techniques
by: Mortezanejad, Seyedeh Azadeh Fallah, et al.
Published: (2025)

Bayes-xG: Player and Position Correction on Expected Goals (xG) using Bayesian Hierarchical Approach
by: Scholtes, Alexander, et al.
Published: (2023)

Transfer Learning for Temporal Link Prediction
by: Chatterjee, Ayan, et al.
Published: (2025)

Overcoming the Challenges of Batch Normalization in Federated Learning
by: Guerraoui, Rachid, et al.
Published: (2024)

k-hop Fairness: Addressing Disparities in Graph Link Prediction Beyond First-Order Neighborhoods
by: Marey, Lilian, et al.
Published: (2026)

Learning Neural Operator Surrogates for the Black Hole Accretion Code
by: Nägele, Matthias, et al.
Published: (2026)

Temporal Link Prediction Using Graph Embedding Dynamics
by: Fard, Sanaz Hasanzadeh, et al.
Published: (2024)

Generating Causal Temporal Interaction Graphs for Counterfactual Validation of Temporal Link Prediction
by: Rahman, Aniq Ur, et al.
Published: (2026)

Dynamic Link Prediction with Temporally Enhanced Signed Graph Neural Networks
by: Regier, Derek, et al.
Published: (2026)

Self-Exploring Language Models for Explainable Link Forecasting on Temporal Graphs via Reinforcement Learning
by: Ding, Zifeng, et al.
Published: (2025)

Higher-order Structure Boosts Link Prediction on Temporal Graphs
by: Liu, Jingzhe, et al.
Published: (2025)

Temporal Graph MLP Mixer for Spatio-Temporal Forecasting
by: Bilal, Muhammad, et al.
Published: (2025)

Temporal Graph Learning Recurrent Neural Network for Traffic Forecasting
by: Lee, Sanghyun, et al.
Published: (2024)

Multi-Factor Spatio-Temporal Prediction based on Graph Decomposition Learning
by: Ji, Jiahao, et al.
Published: (2023)

Graph Attention-based Adaptive Transfer Learning for Link Prediction
by: Lu, Huashen, et al.
Published: (2025)

Sequence Diffusion Model for Temporal Link Prediction in Continuous-Time Dynamic Graph
by: Duc, Nguyen Minh, et al.
Published: (2026)

Exploiting Meta-Learning-based Poisoning Attacks for Graph Link Prediction
by: Li, Mingchen, et al.
Published: (2025)

FOS: A Large-Scale Temporal Graph Benchmark for Scientific Interdisciplinary Link Prediction
by: Rezaee, Kiyan, et al.
Published: (2025)

Var-JEPA: A Variational Formulation of the Joint-Embedding Predictive Architecture -- Bridging Predictive and Generative Self-Supervised Learning
by: Gögl, Moritz, et al.
Published: (2026)

Efficient Learning-based Graph Simulation for Temporal Graphs
by: Xiang, Sheng, et al.
Published: (2025)

Efficient Neural Common Neighbor for Temporal Graph Link Prediction
by: Zhang, Xiaohui, et al.
Published: (2024)

Better Batch for Deep Probabilistic Time Series Forecasting
by: Zheng, Vincent Zhihao, et al.
Published: (2023)

ST-ReP: Learning Predictive Representations Efficiently for Spatial-Temporal Forecasting
by: Zheng, Qi, et al.
Published: (2024)

Improving Temporal Link Prediction via Temporal Walk Matrix Projection
by: Lu, Xiaodong, et al.
Published: (2024)

Batch Universal Prediction
by: Bondaschi, Marco, et al.
Published: (2024)

Graph Neural Networks and Spatial Information Learning for Post-Processing Ensemble Weather Forecasts
by: Feik, Moritz, et al.
Published: (2024)

Big Batch Bayesian Active Learning by Considering Predictive Probabilities
by: Ober, Sebastian W., et al.
Published: (2025)