note

I studied the differences between RAG, GraphRAG, and KAG, so I organized my understanding

In the context of using generative AI for business, the term RAG has become common. On the other hand, most people have ...

“Modern Literature 2.0” in Junosuke Kobayashi’s note: Renewing the Critical Paradigm through Textual Supremacism and OS Network Literary Theory｜小林十之助

AbstractAs an independent literary critic, Junosuke Kobayashi is developing the “Modern Literature 2.0” project on note.com.
BIOENGINEER

Smart Forecasting: Deep Learning and Explainable AI Reshape Time Series Prediction

Artificial intelligence is quietly rewriting one of the oldest problems in data science: predicting what happens next. A new ...
Nature

Knowledge Graphs and Semantic Data Integration articles from across Nature Portfolio

Heterogeneous conflict-event information is distributed across textual reports, web images, and scanned maps, making it difficult to represent entities, events, geographic locations, temporal ...
BIOENGINEER

Machine Learning That Carries Its Own Proof: New Framework Keeps AI Reasoning Auditable

A new neuro-symbolic framework called Delta Semantics keeps machine learning outputs provably consistent with evolving ...
HackerNoon

Your CRM Is Feeding AI Agents Mutually Exclusive Truths

AI agents can act on conflicting CRM data. This framework resolves identity, authority, freshness, consent, and action risk before execution.
IEEE

Rule-Enhanced Temporal Knowledge Graph Reasoning with Soft Prompts

Knowledge graphs organize real-world facts in a structured form by representing entities as nodes and relations as edges. Conventional knowledge graphs usually express facts as triples (subject, ...
GitHub

TKG-LPEHD

TKG-LPEHD is a modular framework for temporal knowledge graph reasoning (TKGR) that deeply integrates rule-based reasoning, graph-based neural reasoning, and large language models. It employs ...
quantumzeitgeist

IGETR: 5.6% Accuracy Gain in Temporal Reasoning

Temporal knowledge graph reasoning (TKGR) seeks to forecast future events by identifying missing entities within evolving knowledge structures. Shiqi Fan from The Hong Kong Polytechnic University, ...
IEEE

A Hybrid Framework of Symbolic and Embedding-Based Logic for Temporal Knowledge Graph Reasoning

Abstract: Temporal knowledge graph (TKG) reasoning involves inferring future unknown facts based on historical data. Current approaches to temporal reasoning can be broadly categorized into two main ...