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#cayley — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #cayley, aggregated by home.social.

  1. "Palestina-onderzoeker van het Internationaal Strafhof stapte op na bedreigingen"

    -> "Cayley werd in maart 2024 aangesteld als hoofdonderzoeker van het Strafhof naar oorlogsmisdaden in Palestina en Israël. Hij stapte een half jaar later op vanwege de dreiging van Amerikaanse sancties en anonieme dreigtelefoontjes"

    (Via @TheRightsForum op BS) #ICC #Cayley #Strafhof
    rightsforum.org/palestina-onde

  2. "Palestina-onderzoeker van het Internationaal Strafhof stapte op na bedreigingen"

    -> "Cayley werd in maart 2024 aangesteld als hoofdonderzoeker van het Strafhof naar oorlogsmisdaden in Palestina en Israël. Hij stapte een half jaar later op vanwege de dreiging van Amerikaanse sancties en anonieme dreigtelefoontjes"

    (Via @TheRightsForum op BS) #ICC #Cayley #Strafhof
    rightsforum.org/palestina-onde

  3. "Palestina-onderzoeker van het Internationaal Strafhof stapte op na bedreigingen"

    -> "Cayley werd in maart 2024 aangesteld als hoofdonderzoeker van het Strafhof naar oorlogsmisdaden in Palestina en Israël. Hij stapte een half jaar later op vanwege de dreiging van Amerikaanse sancties en anonieme dreigtelefoontjes"

    (Via @TheRightsForum op BS) #ICC #Cayley #Strafhof
    rightsforum.org/palestina-onde

  4. "Palestina-onderzoeker van het Internationaal Strafhof stapte op na bedreigingen"

    -> "Cayley werd in maart 2024 aangesteld als hoofdonderzoeker van het Strafhof naar oorlogsmisdaden in Palestina en Israël. Hij stapte een half jaar later op vanwege de dreiging van Amerikaanse sancties en anonieme dreigtelefoontjes"

    (Via @TheRightsForum op BS) #ICC #Cayley #Strafhof
    rightsforum.org/palestina-onde

  5. "Palestina-onderzoeker van het Internationaal Strafhof stapte op na bedreigingen"

    -> "Cayley werd in maart 2024 aangesteld als hoofdonderzoeker van het Strafhof naar oorlogsmisdaden in Palestina en Israël. Hij stapte een half jaar later op vanwege de dreiging van Amerikaanse sancties en anonieme dreigtelefoontjes"

    (Via @TheRightsForum op BS) #ICC #Cayley #Strafhof
    rightsforum.org/palestina-onde

  6. I'm trying to get a full n-quad entry in #Cayley with #python. But all the example queries (in the "Gremlin" API syntax) are restricted to getting a particular set of matching entries. Is there an equivalent of the SQL

    ```
    SELECT * FROM graph WHERE subject = "Foo";
    ```

    Help? :D

  7. I'm trying to get a full n-quad entry in with . But all the example queries (in the "Gremlin" API syntax) are restricted to getting a particular set of matching entries. Is there an equivalent of the SQL

    ```
    SELECT * FROM graph WHERE subject = "Foo";
    ```

    Help? :D

  8. I'm trying to get a full n-quad entry in #Cayley with #python. But all the example queries (in the "Gremlin" API syntax) are restricted to getting a particular set of matching entries. Is there an equivalent of the SQL

    ```
    SELECT * FROM graph WHERE subject = "Foo";
    ```

    Help? :D

  9. I'm trying to get a full n-quad entry in #Cayley with #python. But all the example queries (in the "Gremlin" API syntax) are restricted to getting a particular set of matching entries. Is there an equivalent of the SQL

    ```
    SELECT * FROM graph WHERE subject = "Foo";
    ```

    Help? :D

  10. I'm trying to get a full n-quad entry in #Cayley with #python. But all the example queries (in the "Gremlin" API syntax) are restricted to getting a particular set of matching entries. Is there an equivalent of the SQL

    ```
    SELECT * FROM graph WHERE subject = "Foo";
    ```

    Help? :D

  11. Using #Cayley as my knowledge graph with #python. (Entities and their relationships are in RDF N-quad format: "subject", "predicate", "object", "label".) But I can barely wrap my head around the Gizmo API syntax. Only simple queries make sense to my tiny brain! Like this returns all the predicates:

    `query = graph.V("<predicates>").Out("<are>").All()`

    And this returns all the things known about "Bob":

    `query = graph.V("Bob").Out().All()`

    But what about all predicates for Bob?

    🤔

  12. Using as my knowledge graph with . (Entities and their relationships are in RDF N-quad format: "subject", "predicate", "object", "label".) But I can barely wrap my head around the Gizmo API syntax. Only simple queries make sense to my tiny brain! Like this returns all the predicates:

    `query = graph.V("<predicates>").Out("<are>").All()`

    And this returns all the things known about "Bob":

    `query = graph.V("Bob").Out().All()`

    But what about all predicates for Bob?

    🤔

  13. Using #Cayley as my knowledge graph with #python. (Entities and their relationships are in RDF N-quad format: "subject", "predicate", "object", "label".) But I can barely wrap my head around the Gizmo API syntax. Only simple queries make sense to my tiny brain! Like this returns all the predicates:

    `query = graph.V("<predicates>").Out("<are>").All()`

    And this returns all the things known about "Bob":

    `query = graph.V("Bob").Out().All()`

    But what about all predicates for Bob?

    🤔

  14. Using #Cayley as my knowledge graph with #python. (Entities and their relationships are in RDF N-quad format: "subject", "predicate", "object", "label".) But I can barely wrap my head around the Gizmo API syntax. Only simple queries make sense to my tiny brain! Like this returns all the predicates:

    `query = graph.V("<predicates>").Out("<are>").All()`

    And this returns all the things known about "Bob":

    `query = graph.V("Bob").Out().All()`

    But what about all predicates for Bob?

    🤔

  15. Using #Cayley as my knowledge graph with #python. (Entities and their relationships are in RDF N-quad format: "subject", "predicate", "object", "label".) But I can barely wrap my head around the Gizmo API syntax. Only simple queries make sense to my tiny brain! Like this returns all the predicates:

    `query = graph.V("<predicates>").Out("<are>").All()`

    And this returns all the things known about "Bob":

    `query = graph.V("Bob").Out().All()`

    But what about all predicates for Bob?

    🤔

  16. @amy
    Nice description and a not at all annoying speaker (which is always a help :-) )
    #maths #algebras #Hamilton #Cayley

  17. @amy
    Nice description and a not at all annoying speaker (which is always a help :-) )
    #maths #algebras #Hamilton #Cayley

  18. @amy
    Nice description and a not at all annoying speaker (which is always a help :-) )
    #maths #algebras #Hamilton #Cayley

  19. @amy
    Nice description and a not at all annoying speaker (which is always a help :-) )
    #maths #algebras #Hamilton #Cayley