Advances in temporal graph reasoning to be presented at #ECAI

Researchers from the AI Institute at the University of Stuttgart @Uni_Stuttgart will present a paper tackling key challenges in temporal graph learning. The work, titled “Full-History Graphs with Edge-Type Decoupled Networks for Temporal Reasoning,” will be presented at #ECAI2025, a premier conference in artificial intelligence.

Full-History Graphs with Edge-Type Decoupled Networks for Temporal Reasoning

Temporal graphs are key to understanding dynamic systems—from traffic flow to financial fraud. ETDNet introduces a dual-branch temporal graph neural network that decouples spatial (intra-frame) and temporal (inter-frame) edges.

This design avoids over-smoothing and allows effective long-range reasoning. ETDNet improves driver-intention prediction (75.6% joint accuracy on Waymo) and illicit-transfer detection (88.1% F1 on Elliptic++), while outperforming transformers and memory-bank baselines with fewer parameters and faster training.

O. Mohammed (@osamamohammed), J. Pan, M. Nayyeri, D. Hernández (@daniel), S. Staab. Full-History Graphs with Edge-Type Decoupled Networks for Temporal Reasoning. Proceedings of the 28th European Conference on Artificial Intelligence (ECAI2025). https://arxiv.org/abs/2508.03251

#AI #MachineLearning #TemporalGraphs #TemporalReasoning #ECAI

🌱 Making AI Sustainability Visible: Introducing a New DSL for Environmental Impact Documentation

In this work, we aim to leverage the concept of #quality models and service level agreements (#SLAs) common in other IT fields and merge them with existing ML model reporting initiatives and Green/Frugal AI proposals to formalize a Sustainable #QualityModel for AI/ML models.

Work led by Gwendal JOUNEAUX to be presented at the 2nd Workshop on Green-Aware #ArtificialIntelligence (Green-Aware AI) to take place in conjunction with the 28th European Conference on Artificial Intelligence (#ECAI)

🔗 Read the summary: https://modeling-languages.com/sustainability-model-cards-dsl/

📄 Full paper: https://www.arxiv.org/abs/2507.19559

#greenAI #energy #sustainability #AI #DSL #ModelCards

Another contribution from DICE #ECAI 2024 came from Louis Mozart Kamden Teyou, who presented “Embedding Knowledge Graphs in Degenerate Clifford Algebras” by Louis Mozart Kamden Teyou, Caglar Demir and Axel Ngonga.🤩👏 Want to read more about it? 👉 https://papers.dice-research.org/2024/ECAI_DeCaL/public.pdf
Are you attending #ECAI 2024? Yunjie He (@royaheeee) will present our paper on generating SROI⁻ ontologies with query embeddings. Query embeddings are used to generalize knowledge graphs and predict answers to queries. We propose a method that, unlike the existing ones for SROI⁻ queries, represents relations with geometric transformations, instead of black box neural operations. In doing so, our method also can generalize the knowledge via ontologies. See you there! #SemanticWeb #KnowledgeGraphs

Esta fim-de-semana começa em Santiago de Compostela a 27th European Conference on Artificial Intelligence, na que participam universidades e conferenciantes israelis, ademais de estar patrocinada por empresas e bancos que financiam a guerra e o genocídio em Gaza.

https://www.ecai2024.eu/

#genocídio #genocide #palestina #palestine #israhell #usc #SantiagoDeCompostela #ecai #ecai2024 #bds

ECAI - 27TH European Conference on Artificial Intelligence

Join us in Santiago de Compostela to mark the 50th anniversary of ECAI!

Very glad to announce KGPrune, a Web Application to Extract Subgraphs of Interest from Wikidata with Analogical Pruning, accepted as a demo paper at #ECAI 2024! Looking forward to feedback and great use cases from the community!

📺 https://youtu.be/mt5gF4ZmhGY
🌐 https://kgprune.loria.fr/
📎 https://inria.hal.science/hal-04678284v1

#knowledgeGraph #artificialIntelligence #semanticWeb #linkedOpenData #knowledgeGraphConstruction #Wikidata

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Recette des véritables #reganmian (#热干面) de #Wuhan (province de #Hubei #ecai #鄂菜) #vegan

https://www.youtube.com/watch?v=XAokEwEaNLk

正宗武汉热干面的配料

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