#Knowledge Graphs
Latest news articles tagged with "Knowledge Graphs". Follow the timeline of events, related topics, and entities.
Articles (19)
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🇺🇸 Integrating Meta-Features with Knowledge Graph Embeddings for Meta-Learning
[USA]
arXiv:2603.19888v1 Announce Type: cross Abstract: The vast collection of machine learning records available on the web presents a significant opportunity for meta-learning, where past experiments are...
Related: #Meta-Learning -
🇺🇸 DIAL-KG: Schema-Free Incremental Knowledge Graph Construction via Dynamic Schema Induction and Evolution-Intent Assessment
[USA]
arXiv:2603.20059v1 Announce Type: new Abstract: Knowledge Graphs (KGs) are foundational to applications such as search, question answering, and recommendation. Conventional knowledge graph constructi...
Related: #AI Research -
🇺🇸 FinReflectKG -- EvalBench: Benchmarking Financial KG with Multi-Dimensional Evaluation
[USA]
arXiv:2510.05710v2 Announce Type: replace-cross Abstract: Large language models (LLMs) are increasingly being used to extract structured knowledge from unstructured financial text. Although prior stu...
Related: #Financial Technology -
🇺🇸 AutoClimDS: Climate Data Science Agentic AI -- A Knowledge Graph is All You Need
[USA]
arXiv:2509.21553v2 Announce Type: replace Abstract: Climate data science remains constrained by fragmented data sources, heterogeneous formats, and steep technical expertise requirements. These barri...
Related: #Climate AI -
🇺🇸 Understanding Wikidata Qualifiers: An Analysis and Taxonomy
[USA]
arXiv:2603.11767v1 Announce Type: new Abstract: This paper presents an in-depth analysis of Wikidata qualifiers, focusing on their semantics and actual usage, with the aim of developing a taxonomy th...
Related: #Data Semantics -
🇺🇸 MMGraphRAG: Bridging Vision and Language with Interpretable Multimodal Knowledge Graphs
[USA]
arXiv:2507.20804v2 Announce Type: replace Abstract: Large Language Models (LLMs) often suffer from hallucinations, which Retrieval-Augmented Generation (RAG) and GraphRAG mitigate by incorporating ex...
Related: #Multimodal AI -
🇺🇸 Agentic SPARQL: Evaluating SPARQL-MCP-powered Intelligent Agents on the Federated KGQA Benchmark
[USA]
arXiv:2603.06582v1 Announce Type: cross Abstract: Standard protocols such as the Model Context Protocol (MCP) that allow LLMs to connect to tools have recently boosted "agentic" AI applications, whic...
Related: #Question Answering, #AI Agents -
🇺🇸 Knowledge Graphs are Implicit Reward Models: Path-Derived Signals Enable Compositional Reasoning
[USA]
arXiv:2601.15160v3 Announce Type: replace Abstract: Large language models have achieved near-expert performance in structured reasoning domains like mathematics and programming, yet their ability to ...
Related: #AI Reasoning -
🇺🇸 Multi-Sourced, Multi-Agent Evidence Retrieval for Fact-Checking
[USA]
arXiv:2603.00267v1 Announce Type: new Abstract: Misinformation spreading over the Internet poses a significant threat to both societies and individuals, necessitating robust and scalable fact-checkin...
Related: #Artificial Intelligence, #Fact-Checking, #Misinformation -
🇺🇸 MMKG-RDS: Reasoning Data Synthesis via Deep Mining of Multimodal Knowledge Graphs
[USA]
arXiv:2602.23632v1 Announce Type: new Abstract: Synthesizing high-quality training data is crucial for enhancing domain models' reasoning abilities. Existing methods face limitations in long-tail kno...
Related: #Artificial Intelligence, #Data Synthesis, #Machine Learning Benchmarking, #Multimodal Learning -
🇺🇸 Graph Your Way to Inspiration: Integrating Co-Author Graphs with Retrieval-Augmented Generation for Large Language Model Based Scientific Idea Generation
[USA]
arXiv:2602.22215v1 Announce Type: new Abstract: Large Language Models (LLMs) demonstrate potential in the field of scientific idea generation. However, the generated results often lack controllable a...
Related: #Artificial Intelligence, #Scientific Research, #Retrieval-Augmented Generation -
🇺🇸 The Initial Exploration Problem in Knowledge Graph Exploration
[USA]
arXiv:2602.21066v1 Announce Type: new Abstract: Knowledge Graphs (KGs) enable the integration and representation of complex information across domains, but their semantic richness and structural comp...
Related: #User Experience, #Information Architecture, #Human-Computer Interaction -
🇺🇸 E-MMKGR: A Unified Multimodal Knowledge Graph Framework for E-commerce Applications
[USA]
arXiv:2602.20877v1 Announce Type: cross Abstract: Multimodal recommender systems (MMRSs) enhance collaborative filtering by leveraging item-side modalities, but their reliance on a fixed set of modal...
Related: #E-commerce Technology, #Multimodal Systems -
🇺🇸 Enhancing Large Language Models (LLMs) for Telecom using Dynamic Knowledge Graphs and Explainable Retrieval-Augmented Generation
[USA]
arXiv:2602.17529v1 Announce Type: new Abstract: Large language models (LLMs) have shown strong potential across a variety of tasks, but their application in the telecom field remains challenging due ...
Related: #Artificial Intelligence, #Natural Language Processing, #Telecom Engineering, #Retrieval‑Augmented Generation -
🇺🇸 SIGMUS: Semantic Integration for Knowledge Graphs in Multimodal Urban Spaces
[USA]
arXiv:2509.00287v2 Announce Type: replace Abstract: Modern urban spaces are equipped with an increasingly diverse set of sensors, all producing an abundance of multimodal data. Such multimodal data c...
Related: #Urban Sensor Data Integration, #Semantic Technologies, #Real‑time Crisis Management, #Smart Cities -
🇺🇸 Just KIDDIN: Knowledge Infusion and Distillation for Detection of INdecent Memes
[USA]
arXiv:2411.12174v3 Announce Type: replace-cross Abstract: Toxicity identification in online multimodal environments remains a challenging task due to the complexity of contextual connections across m...
Related: #Artificial Intelligence Ethics, #Multimodal Machine Learning, #Toxic Content Detection, #Model Compression and Distillation -
🇺🇸 TA-KAND: Two-stage Attention Triple Enhancement and U-KAN based Diffusion For Few-shot Knowledge Graph Completion
[USA]
arXiv:2512.12182v2 Announce Type: replace Abstract: Knowledge Graphs have become fundamental infrastructure for applications such as intelligent question answering and recommender systems due to thei...
Related: #Artificial Intelligence, #Data Science, #Machine Learning -
🇺🇸 Panning for Gold: Expanding Domain-Specific Knowledge Graphs with General Knowledge
[USA]
arXiv:2601.10485v3 Announce Type: replace Abstract: Domain-specific knowledge graphs (DKGs) are critical yet often suffer from limited coverage compared to General Knowledge Graphs (GKGs). Existing t...
Related: #AI Research, #Data Integration -
🇺🇸 Evolving Beyond Snapshots: Harmonizing Structure and Sequence via Entity State Tuning for Temporal Knowledge Graph Forecasting
[USA]
arXiv:2602.12389v1 Announce Type: new Abstract: Temporal knowledge graph (TKG) forecasting requires predicting future facts by jointly modeling structural dependencies within each snapshot and tempor...
Related: #Artificial Intelligence, #Temporal Forecasting
Key Entities (14)
- Large language model (2 news)
- Artificial intelligence (2 news)
- Markov decision process (1 news)
- Wikidata (1 news)
- Knowledge representation and reasoning (1 news)
- Explainable artificial intelligence (1 news)
- Question answering (1 news)
- Knowledge Graph (1 news)
- Graph neural network (1 news)
- Recommender system (1 news)
- Information retrieval (1 news)
- Semantic Web (1 news)
- Information architecture (1 news)
- User interface design (1 news)
About the topic: Knowledge Graphs
The topic "Knowledge Graphs" aggregates 19+ news articles from various countries.