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Foundations and Frontiers of Graph Learning Theory
Foundations and Frontiers of Graph Learning Theory
Recent advancements in graph learning have revolutionized the way to understand and analyze data with complex structures. Notably, Graph Neural Networks (GNNs), i.e. neural network architectures...
Foundations and Frontiers of Graph Learning Theory
ยทarxiv.orgยท
Foundations and Frontiers of Graph Learning Theory
๐˜›๐˜ฉ๐˜ฆ ๐˜”๐˜ช๐˜ฏ๐˜ฅ๐˜ง๐˜ถ๐˜ญ-๐˜™๐˜ˆ๐˜Ž ๐˜ข๐˜ฑ๐˜ฑ๐˜ณ๐˜ฐ๐˜ข๐˜ค๐˜ฉ ๐˜ช๐˜ด ๐˜ข ๐˜ง๐˜ณ๐˜ข๐˜ฎ๐˜ฆ๐˜ธ๐˜ฐ๐˜ณ๐˜ฌ ๐˜ต๐˜ข๐˜ช๐˜ญ๐˜ฐ๐˜ณ๐˜ฆ๐˜ฅ ๐˜ง๐˜ฐ๐˜ณ ๐˜ช๐˜ฏ๐˜ต๐˜ฆ๐˜ฏ๐˜ต-๐˜ฃ๐˜ข๐˜ด๐˜ฆ๐˜ฅ ๐˜ข๐˜ฏ๐˜ฅ ๐˜ค๐˜ฐ๐˜ฏ๐˜ต๐˜ฆ๐˜น๐˜ต๐˜ถ๐˜ข๐˜ญ๐˜ญ๐˜บ ๐˜ข๐˜ญ๐˜ช๐˜จ๐˜ฏ๐˜ฆ๐˜ฅ ๐˜ฌ๐˜ฏ๐˜ฐ๐˜ธ๐˜ญ๐˜ฆ๐˜ฅ๐˜จ๐˜ฆ ๐˜ณ๐˜ฆ๐˜ต๐˜ณ๐˜ช๐˜ฆ๐˜ท๐˜ข๐˜ญ.
๐˜›๐˜ฉ๐˜ฆ ๐˜”๐˜ช๐˜ฏ๐˜ฅ๐˜ง๐˜ถ๐˜ญ-๐˜™๐˜ˆ๐˜Ž ๐˜ข๐˜ฑ๐˜ฑ๐˜ณ๐˜ฐ๐˜ข๐˜ค๐˜ฉ ๐˜ช๐˜ด ๐˜ข ๐˜ง๐˜ณ๐˜ข๐˜ฎ๐˜ฆ๐˜ธ๐˜ฐ๐˜ณ๐˜ฌ ๐˜ต๐˜ข๐˜ช๐˜ญ๐˜ฐ๐˜ณ๐˜ฆ๐˜ฅ ๐˜ง๐˜ฐ๐˜ณ ๐˜ช๐˜ฏ๐˜ต๐˜ฆ๐˜ฏ๐˜ต-๐˜ฃ๐˜ข๐˜ด๐˜ฆ๐˜ฅ ๐˜ข๐˜ฏ๐˜ฅ ๐˜ค๐˜ฐ๐˜ฏ๐˜ต๐˜ฆ๐˜น๐˜ต๐˜ถ๐˜ข๐˜ญ๐˜ญ๐˜บ ๐˜ข๐˜ญ๐˜ช๐˜จ๐˜ฏ๐˜ฆ๐˜ฅ ๐˜ฌ๐˜ฏ๐˜ฐ๐˜ธ๐˜ญ๐˜ฆ๐˜ฅ๐˜จ๐˜ฆ ๐˜ณ๐˜ฆ๐˜ต๐˜ณ๐˜ช๐˜ฆ๐˜ท๐˜ข๐˜ญ.
๐—ฅ๐—”๐—š ๐—œ๐—บ๐—ฝ๐—น๐—ฒ๐—บ๐—ฒ๐—ป๐˜๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐˜€ ๐—™๐—ฎ๐—ถ๐—น ๐——๐˜‚๐—ฒ ๐—ง๐—ผ ๐—œ๐—ป๐˜€๐˜‚๐—ณ๐—ณ๐—ถ๐—ฐ๐—ถ๐—ฒ๐—ป๐˜ ๐—™๐—ผ๐—ฐ๐˜‚๐˜€ ๐—ข๐—ป ๐—ค๐˜‚๐—ฒ๐˜€๐˜๐—ถ๐—ผ๐—ป ๐—œ๐—ป๐˜๐—ฒ๐—ป๐˜ ๐˜›๐˜ฉ๐˜ฆ ๐˜”๐˜ช๐˜ฏ๐˜ฅ๐˜ง๐˜ถ๐˜ญ-๐˜™๐˜ˆ๐˜Žโ€ฆ | 12 comments on LinkedIn
๐˜›๐˜ฉ๐˜ฆ ๐˜”๐˜ช๐˜ฏ๐˜ฅ๐˜ง๐˜ถ๐˜ญ-๐˜™๐˜ˆ๐˜Ž ๐˜ข๐˜ฑ๐˜ฑ๐˜ณ๐˜ฐ๐˜ข๐˜ค๐˜ฉ ๐˜ช๐˜ด ๐˜ข ๐˜ง๐˜ณ๐˜ข๐˜ฎ๐˜ฆ๐˜ธ๐˜ฐ๐˜ณ๐˜ฌ ๐˜ต๐˜ข๐˜ช๐˜ญ๐˜ฐ๐˜ณ๐˜ฆ๐˜ฅ ๐˜ง๐˜ฐ๐˜ณ ๐˜ช๐˜ฏ๐˜ต๐˜ฆ๐˜ฏ๐˜ต-๐˜ฃ๐˜ข๐˜ด๐˜ฆ๐˜ฅ ๐˜ข๐˜ฏ๐˜ฅ ๐˜ค๐˜ฐ๐˜ฏ๐˜ต๐˜ฆ๐˜น๐˜ต๐˜ถ๐˜ข๐˜ญ๐˜ญ๐˜บ ๐˜ข๐˜ญ๐˜ช๐˜จ๐˜ฏ๐˜ฆ๐˜ฅ ๐˜ฌ๐˜ฏ๐˜ฐ๐˜ธ๐˜ญ๐˜ฆ๐˜ฅ๐˜จ๐˜ฆ ๐˜ณ๐˜ฆ๐˜ต๐˜ณ๐˜ช๐˜ฆ๐˜ท๐˜ข๐˜ญ.
ยทlinkedin.comยท
๐˜›๐˜ฉ๐˜ฆ ๐˜”๐˜ช๐˜ฏ๐˜ฅ๐˜ง๐˜ถ๐˜ญ-๐˜™๐˜ˆ๐˜Ž ๐˜ข๐˜ฑ๐˜ฑ๐˜ณ๐˜ฐ๐˜ข๐˜ค๐˜ฉ ๐˜ช๐˜ด ๐˜ข ๐˜ง๐˜ณ๐˜ข๐˜ฎ๐˜ฆ๐˜ธ๐˜ฐ๐˜ณ๐˜ฌ ๐˜ต๐˜ข๐˜ช๐˜ญ๐˜ฐ๐˜ณ๐˜ฆ๐˜ฅ ๐˜ง๐˜ฐ๐˜ณ ๐˜ช๐˜ฏ๐˜ต๐˜ฆ๐˜ฏ๐˜ต-๐˜ฃ๐˜ข๐˜ด๐˜ฆ๐˜ฅ ๐˜ข๐˜ฏ๐˜ฅ ๐˜ค๐˜ฐ๐˜ฏ๐˜ต๐˜ฆ๐˜น๐˜ต๐˜ถ๐˜ข๐˜ญ๐˜ญ๐˜บ ๐˜ข๐˜ญ๐˜ช๐˜จ๐˜ฏ๐˜ฆ๐˜ฅ ๐˜ฌ๐˜ฏ๐˜ฐ๐˜ธ๐˜ญ๐˜ฆ๐˜ฅ๐˜จ๐˜ฆ ๐˜ณ๐˜ฆ๐˜ต๐˜ณ๐˜ช๐˜ฆ๐˜ท๐˜ข๐˜ญ.
Gartner Report on Building Knowledge Graphs for AI
Gartner Report on Building Knowledge Graphs for AI
Knowledge graphs deliver semantically enabled data management to power a diverse range of AI applications. To successfully build knowledge graphs at an enterprise level, data and analytics leaders must take an agile approach to knowledge graph development.
ยทinfo.tigergraph.comยท
Gartner Report on Building Knowledge Graphs for AI
Counterfeit Knowledge Graphs | LinkedIn
Counterfeit Knowledge Graphs | LinkedIn
When we progress from data to knowledge, there is what physicists call a phase change like the change from water to ice or from mud to brick. The ingredients are the same throughout the transition, but we compress and restructure these ingredients into something entirely new with dramatically differ
Counterfeit Knowledge Graphs
ยทlinkedin.comยท
Counterfeit Knowledge Graphs | LinkedIn
Benchmarking GraphRAG
Benchmarking GraphRAG
๐Ÿฅณย The Wait is Over!ย As promised from my last post (https://lnkd.in/g9_-9i8D), I took MSFT open-source GraphRAG for a ๐ŸŽ๏ธ๐Ÿ’จย road testย via my JAM4RAG (Justโ€ฆ | 12 comments on LinkedIn
GraphRAG
ยทlinkedin.comยท
Benchmarking GraphRAG
An Overview of Knowledge Graph Embeddings
An Overview of Knowledge Graph Embeddings
An Overview of Knowledge Graph Embeddings (KGEs) โ€“ Part 1. ๐Ÿง ๐Ÿ„ Knowledge Graphs represent real-world facts as structured data. Nodes represent entities orโ€ฆ
An Overview of Knowledge Graph Embeddings
ยทlinkedin.comยท
An Overview of Knowledge Graph Embeddings
An enterprise-grade implementation of Knowledge Graphs for LLM apps (Graph RAG)
An enterprise-grade implementation of Knowledge Graphs for LLM apps (Graph RAG)
There is a lot of noise about #KnowledgeGraphs for LLM apps. But we haven't seen an enterprise-grade implementation. This approach could be one. "Theโ€ฆ | 11 comments on LinkedIn
There is a lot of noise about hashtag#KnowledgeGraphs for LLM apps. But we haven't seen an enterprise-grade implementation. This approach could be one.
ยทlinkedin.comยท
An enterprise-grade implementation of Knowledge Graphs for LLM apps (Graph RAG)
How exactly do knowledge graphs work?
How exactly do knowledge graphs work?
How exactly do knowledge graphs work? Before you dive deep into GraphRAG, learn the basics of property graphs - each node and relation can store a structuredโ€ฆ
How exactly do knowledge graphs work?
ยทlinkedin.comยท
How exactly do knowledge graphs work?
AI Reasoning on Cybersecurity RDF Graphs
AI Reasoning on Cybersecurity RDF Graphs
AI Reasoning on Cybersecurity RDF Graphs https://lnkd.in/dAKb43bV Allen Woods, Tony Seale, Andrey Prozorov, Andy Watkin-Child CSyP, CEng, MSyI, MIMechEโ€ฆ | 10 comments on LinkedIn
AI Reasoning on Cybersecurity RDF Graphs
ยทlinkedin.comยท
AI Reasoning on Cybersecurity RDF Graphs
GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models
GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models
This is something very cool! 3. GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models "GraphReader addresses theโ€ฆ
GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models
ยทlinkedin.comยท
GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models
Interactive Network Graphs for Uncovering Complex Multicollinearity
Interactive Network Graphs for Uncovering Complex Multicollinearity
Interactive Network Graphs for Uncovering Complex Multicollinearity ๐Ÿ•ธ๏ธ Visualize multicollinearity in large datasets with interactive network graphs usingโ€ฆ | 18 comments on LinkedIn
Interactive Network Graphs for Uncovering Complex Multicollinearity
ยทlinkedin.comยท
Interactive Network Graphs for Uncovering Complex Multicollinearity
A first version of JSON-LD Framing of DFRNT hypergraphs
A first version of JSON-LD Framing of DFRNT hypergraphs
This weekend we released a first version of JSON-LD Framing of DFRNT hypergraphs, that is now exposed as a user interface. This is great for technicalโ€ฆ
a first version of JSON-LD Framing of DFRNT hypergraphs
ยทlinkedin.comยท
A first version of JSON-LD Framing of DFRNT hypergraphs
How does Microsoft's GraphRAG fit in the Graph RAG ecosystem? | LinkedIn
How does Microsoft's GraphRAG fit in the Graph RAG ecosystem? | LinkedIn
Recently, Microsoft announced with a post their GraphRAG offering. This article provides a brief overview of their approach, how it compares to other Graph RAG varieties, what problems it can address and what it cannot.
How does Microsoft's GraphRAG fit in the Graph RAG ecosystem?
ยทlinkedin.comยท
How does Microsoft's GraphRAG fit in the Graph RAG ecosystem? | LinkedIn
RAG: Graph Retrieval vs Graph Reasoning
RAG: Graph Retrieval vs Graph Reasoning
Knowledge graphs (KGs) are a specific type of #data structure designed to represent entities and the connections between them. They move beyond simply storingโ€ฆ | 14 comments on LinkedIn
๐—š๐—ฟ๐—ฎ๐—ฝ๐—ต ๐—ฅ๐—ฒ๐—ฎ๐˜€๐—ผ๐—ป๐—ถ๐—ป๐—ด
ยทlinkedin.comยท
RAG: Graph Retrieval vs Graph Reasoning
GitHub - SynaLinks/HybridAGI: The Programmable Neuro-Symbolic AGI that lets you program its behavior using Graph-based Prompt Programming: for people who want AI to behave as expected
GitHub - SynaLinks/HybridAGI: The Programmable Neuro-Symbolic AGI that lets you program its behavior using Graph-based Prompt Programming: for people who want AI to behave as expected
The Programmable Neuro-Symbolic AGI that lets you program its behavior using Graph-based Prompt Programming: for people who want AI to behave as expected - SynaLinks/HybridAGI
ยทgithub.comยท
GitHub - SynaLinks/HybridAGI: The Programmable Neuro-Symbolic AGI that lets you program its behavior using Graph-based Prompt Programming: for people who want AI to behave as expected
Open Research Knowledge Graph (ORKG) ASK (Assistant for Scientific Knowledge) uses vector hashtag#embeddings to find the most relevant papers and an open-source hashtag#LLM to synthesize the answer for you
Open Research Knowledge Graph (ORKG) ASK (Assistant for Scientific Knowledge) uses vector hashtag#embeddings to find the most relevant papers and an open-source hashtag#LLM to synthesize the answer for you
Ask your (research) question against 76 Million scientific articles: https://ask.orkg.org Open Research Knowledge Graph (ORKG) ASK (Assistant for Scientificโ€ฆ
Open Research Knowledge Graph (ORKG) ASK (Assistant for Scientific Knowledge) uses vector hashtag#embeddings to find the most relevant papers and an open-source hashtag#LLM to synthesize the answer for you
ยทlinkedin.comยท
Open Research Knowledge Graph (ORKG) ASK (Assistant for Scientific Knowledge) uses vector hashtag#embeddings to find the most relevant papers and an open-source hashtag#LLM to synthesize the answer for you
Why LLMs Need to Be Graphy | LinkedIn
Why LLMs Need to Be Graphy | LinkedIn
Copyright 2024 Kurt Cagle / The Cagle Report Recently, I've spent a lot of time talking with clients about the need for knowledge graphs in LLMs, why they are not "graphlike," and why we may need to rethink the whole transformer model. I think this topic is worth exploring, and I'd like to have a po
ยทlinkedin.comยท
Why LLMs Need to Be Graphy | LinkedIn