mlsanityData to 14 Oct 2026

Knowledge Graph Completion for Action Prediction on Situational Graphs -- A Case Study on Household Tasks

arXiv 2508.13675 ↗First posted 19 Aug 2025cs.AIcited by 0

Not on the map. Why?

Abstract (arXiv)

Knowledge Graphs are used for various purposes, including business applications, biomedical analyses, or digital twins in industry 4.0. In this paper, we investigate knowledge graphs describing household actions, which are beneficial for controlling household robots and analyzing video footage. In the latter case, the information extracted from videos is notoriously incomplete, and completing the knowledge graph for enhancing the situational picture is essential. In this paper, we show that, while a standard link prediction problem, situational knowledge graphs have special characteristics that render many link prediction algorithms not fit for the job, and unable to outperform even simple baselines.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 20 of its 39 references that are in the map. First posted on arXiv 19 Aug 2025.

Builds on

20 of 39 references.

References · 20

  1. 2020Language Models are Few-Shot Learnerscited by 32,419
  2. 2014Embedding Entities and Relations for Learning and Inference in Knowledge Basescited by 932
  3. 2016Complex Embeddings for Simple Link Predictioncited by 902
  4. 2019RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Spacecited by 898
  5. 2020A Survey on Knowledge Graphs: Representation, Acquisition and Applicationscited by 643
  6. 2020Knowledge Graphscited by 621
  7. 2019KGAT: Knowledge Graph Attention Network for Recommendationcited by 343
  8. 2015A Review of Relational Machine Learning for Knowledge Graphscited by 265
  9. 2019Representation Learning for Dynamic Graphs: A Surveycited by 265
  10. 2018Human Action Recognition and Prediction: A Surveycited by 227
  11. 2020PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddingscited by 77
  12. 2015An end-to-end generative framework for video segmentation and recognitioncited by 61
8 more
  1. 2022Temporal Knowledge Graph Completion: A Surveycited by 61
  2. 2021Semantics for Robotic Mapping, Perception and Interaction: A Surveycited by 56
  3. 2019Learning Object-Action Relations from Bimanual Human Demonstration Using Graph Networkscited by 29
  4. 2019Functional Object-Oriented Network for Manipulation Learningcited by 27
  5. 2023Scene-Driven Multimodal Knowledge Graph Construction for Embodied AIcited by 17
  6. 2021Patterns for Representing Knowledge Graphs to Communicate Situational Knowledge of Service Robotscited by 7
  7. 2023Graph learning in robotics: a surveycited by 5
  8. 2022On a Generalized Framework for Time-Aware Knowledge Graphscited by 4

Built on by

Not cited yet.