.- Research Track.
.- CompoST: A Benchmark for Analyzing the Ability of LLMs To
Compositionally Interpret Questions in a QALD Setting.
.- Are quality dimensions correlated? An empirical investigation over
Linked Data.
.- SAT-Based Bounded Fitting for the Description Logic ALC.
.- Ontology-enhanced Knowledge Graph Completion using Large
Language Models.
.- ProgKGC: Progressive Structure-Enhanced Semantic Framework for
Knowledge Graph Completion.
.- Link Prediction Under Non-targeted Attacks: Do Soft Labels Always Help?.
.- UpSHACL: Targeted Constraint Validation for Updates over Knowledge
Graphs.
.- SHACL Validation under Graph Updates.
.- GLIDE: Knowledge Graph Linking using Distance-Aware Embeddings.
.- FastER: On-Demand Entity Resolution in Property Graphs.
.- FLORA: Unsupervised Knowledge Graph Alignment by Fuzzy Logic.
.- Proxy-Enriched Imputation on Contextually Incomplete Web Tables.
.- A Domain-Independent Approach for Semantic Table Interpretation.
.- Neuro-Symbolic Adaptive Query Processing over Knowledge Graphs.
.- GRASP: Generic Reasoning And SPARQL Generation across
Knowledge Graphs.
.- ReFactX: Scalable Reasoning with Reliable Facts via Constrained
Generation.
.- Parallel Reasoning in Sequoia.
.- HypKG: Hypergraph-based Knowledge Graph Contextualization for
Precision Healthcare.
.- Graph Querying or Similarity Search? Both!.
.- Formalizing Repairs for Wikidata Constraint Violations: A Taxonomy
and Empirical Analysis.
.- Beyond Manual Labels: Unsupervised Graph-Based Explanations for
Error Analysis in Image Classifiers.
.- Query-aware Dynamic Representation Learning for Temporal
Knowledge Graph Reasoning.
.- Compact Answers to Temporal Path Queries.
.- Language Models as Ontology Encoders.
.- Parameter-efficient Federated Knowledge Graph Embedding Learning
and Unlearning.
.- Measuring the Impact of Narrative Complexity on Knowledge Graph
Embeddings.
.- Large Language Models Assisting Ontology Evaluation.
.- Controlled Query Evaluation under Epistemic Dependencies:
Algorithms and Experiments.
.- Efficient Updates for Worst-Case Optimal Join Triple Stores.
.- Leveraging Open Path from Pruned Graph for Link Prediction on
Knowledge Graphs.
.- Revisiting Link Prioritization for Efficient Traversal in Structured
Decentralized Environments.
.- AdaGCRAG: Adaptive Graph-Chunk Retrieval for Lightweight RAG.
.- The Graph Language: How Knowledge Graphs Speak to Large
Language Models.
.- KROMA: Ontology Matching with Knowledge Retrieval and Large
Language Models.