research
∙
05/30/2023
MAGNet: Motif-Agnostic Generation of Molecules from Shapes
Recent advances in machine learning for molecules exhibit great potentia...
share
research
∙
09/16/2022
A Systematic Evaluation of Node Embedding Robustness
Node embedding methods map network nodes to low dimensional vectors that...
research
∙
02/17/2022
Graph Data Augmentation for Graph Machine Learning: A Survey
Data augmentation has recently seen increased interest in graph machine ...
research
∙
10/21/2021
Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness
End-to-end (geometric) deep learning has seen first successes in approxi...
research
∙
08/30/2021
Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience (VesselGraph)
Biological neural networks define the brain function and intelligence of...
research
∙
07/13/2021
Graphhopper: Multi-Hop Scene Graph Reasoning for Visual Question Answering
Visual Question Answering (VQA) is concerned with answering free-form qu...
research
∙
07/06/2021
Enabling Un-/Semi-Supervised Machine Learning for MDSE of the Real-World CPS/IoT Applications
In this paper, we propose a novel approach to support domain-specific Mo...
research
∙
03/30/2020
Graph Hawkes Network for Reasoning on Temporal Knowledge Graphs
The Hawkes process has become a standard method for modeling self-exciti...
research
∙
11/29/2017
