William Lyon
where else to find them
website:http://lyonwj.com
github:johnymontana
bluesky:lyonwj.bsky.social
x:lyonwj
linkedin:lyonwj
youtube:@lyonwj
devto:lyonwj
what they talk about
all 7 in the filters
where they keep going back
- GraphQL Galaxy2 editions2021–2022
all 6 in the filters
on a stage with
all 4 in the filters
who talks about the same things
- Ljubica Lazarevic5 talks
- Matt Debergalis12 talks
- Alison Cossette6 talks
- Roy Derks43 talks
- Uri Goldshtein37 talks
- Marc-André Giroux7 talks
| title | conference | date |
|---|---|---|
| Opening Keynote: Exploring Context Graphs: From Data to Decisions - Extended Version | NODES AI 2026 | 2026-04-15 |
Panel argues that context graphs are a concrete layer that capture decision traces (agent tool calls, outcomes, why a deal closed) and stitch them into a… | ||
| The AI Agent Memory Landscape | NODES AI 2026 | 2026-04-15 |
Argues that context graphs plus three concrete memory types — short-term, long-term and reasoning memory — are the practical difference between demo agents and… | ||
| Opening Keynote: Exploring Context Graphs: From Data to Decisions | NODES AI 2026 | 2026-04-15 |
Panel claims a decision trace—a recorded chain of agent tool calls and human interactions—lets systems capture the “why” behind outcomes and form a reusable… | ||
| The Fastest Path To Building An Agent For Your Knowledge Graph Is By Using MCP | NODES 2025 | 2025-11-06 |
Claim: the fastest practical route to a knowledge-graph agent is to expose Neo4j as MCP tools and use an Aura/agent front end to call them. The demo wires up… | ||
| The Knowledge Graph Mullet: Trimming GraphRAG Complexity | AI Engineer World's Fair 2025 | 2025-06-03 |
Claims that a property graph front with RDF triple storage back simplifies GraphRAG by keeping a property-model query surface while using triples for scalable… | ||
| Building Geospatial GraphQL APIs By Leveraging GraphQL Database Integrations | GraphQLConf 2023 | 2023-09-19 |
Shows how to expose geospatial types and filters by wiring PostGIS through GraphQL (using PostGIS + PostGraphile) and by using Neo4j’s GraphQL library to… | ||
| Hands-On With SwiftUI, GraphQL, & Neo4j AuraDB | GraphQL Galaxy 2022 | 2022-12-09 |
This workshop focused on building native iOS applications using SwiftUI and GraphQL, with a database powered by Neo4j. The Neo4j GraphQL library reduces… | ||
| Building GraphQL APIs With The Neo4j GraphQL Library & Neo4j AuraDB | GraphQL Galaxy 2022 | 2022-12-09 |
This workshop focused on Neo4j and GraphQL, covering topics such as graph pattern matching in Cypher, use cases for graphs in Neo4j, and the basics of GraphQL… | ||
| Putting the Graph In GraphQL With The Neo4j GraphQL Library | GraphQL Galaxy 2021 | 2021-12-09 |
Neo4j GraphQL Library generates a full CRUD GraphQL API from type defs so no resolvers are written, and for any request it emits a single database query that… | ||
| Full Stack GraphQL In The Cloud With Neo4j Aura, Next.js, & Vercel | GraphQL Galaxy 2021 | 2021-12-09 |
The workshop covered various topics related to building a full stack news article application using Neo4j AuraDB, GraphQL, and Next.js. It discussed graph data… | ||
| Building GraphQL APIs With The Neo4j GraphQL Library | GraphQL Galaxy 2021 | 2021-12-09 |
This workshop focused on building GraphQL APIs using Neo4j, a graph database. The Neo4j GraphQL library was used to generate the API, handle data fetching, and… | ||
| Graphs + Sensors = The Internet of Connected Things | Embedded Linux Conference + OpenIoT Summit North America 2017 | 2017-02-21 |
Graphs provide actionable context for streaming sensor data by letting you model topology, dependencies and neighbors rather than lone readings. Uses Neo4j… | ||
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