112 citations · 279 across the 10 of their papers we have counts for
10 papers
Text-to-SPARQL Generation with Reinforcement Learning: A GRPO-based Approach on DBLP
Jann Pfeifer, Debayan Banerjee, Ricardo Usbeck
Knowledge graph question answering seeks to translate natural language questions into executable queries over knowledge graphs, but existing approaches often rely on large models o…
Yggdrasil Decision Forests: A Fast and Extensible Decision Forests Library
Mathieu Guillame-Bert, Sebastian Bruch, Richard Stotz +1
Yggdrasil Decision Forests is a library for the training, serving and interpretation of decision forest models, targeted both at research and production work, implemented in C++, a…
TF-GNN: Graph Neural Networks in TensorFlow
Oleksandr Ferludin, Arno Eigenwillig, Martin Blais +24
TensorFlow-GNN (TF-GNN) is a scalable library for Graph Neural Networks in TensorFlow. It is designed from the bottom up to support the kinds of rich heterogeneous graph data that…
Modeling Text with Decision Forests using Categorical-Set Splits
Mathieu Guillame-Bert, Sebastian Bruch, Petr Mitrichev +2
Decision forest algorithms typically model data by learning a binary tree structure recursively where every node splits the feature space into two sub-regions, sending examples int…
Learning Representations for Axis-Aligned Decision Forests through Input Perturbation
Sebastian Bruch, Jan Pfeifer, Mathieu Guillame-bert
Axis-aligned decision forests have long been the leading class of machine learning algorithms for modeling tabular data. In many applications of machine learning such as learning-t…
A Practical Index Structure Supporting Fréchet Proximity Queries Among Trajectories
Joachim Gudmundsson, Michael Horton, John Pfeifer +1
We present a scalable approach for range and nearest neighbor queries under computationally expensive metrics, like the continuous Fréchet distance on trajectory data. Based on…