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Construct a biomedical knowledge graph with NLP
Construct a biomedical knowledge graph with NLP
Learn how to combine OCR, named entity linking, relation extraction and external enrichment databases to construct a biomedical knowledge…
·medium.com·
Construct a biomedical knowledge graph with NLP
A new class of GNNs grand + blend
A new class of GNNs grand + blend
A new class of GNNs! This Tuesday in the #graph reading group, James Rowbottom and Ben Chamberlain present their "GRAND: Graph Neural Diffusion" paper ...
·linkedin.com·
A new class of GNNs grand + blend
Knowledge Graphs and Big Data Processing (Lecture Notes in Computer Science Book 12072) eBook : Janev, Valentina, Graux, Damien, Jabeen, Hajira, Sallinger, Emanuel: Kindle Store
Knowledge Graphs and Big Data Processing (Lecture Notes in Computer Science Book 12072) eBook : Janev, Valentina, Graux, Damien, Jabeen, Hajira, Sallinger, Emanuel: Kindle Store
Amazon.com: Knowledge Graphs and Big Data Processing (Lecture Notes in Computer Science Book 12072) eBook : Janev, Valentina, Graux, Damien, Jabeen, Hajira, Sallinger, Emanuel: Kindle Store
·amazon.com·
Knowledge Graphs and Big Data Processing (Lecture Notes in Computer Science Book 12072) eBook : Janev, Valentina, Graux, Damien, Jabeen, Hajira, Sallinger, Emanuel: Kindle Store
Joins and NULLs in SPARQL - Stardog
Joins and NULLs in SPARQL - Stardog
Joins play a pretty important role for defining the semantics of evaluating SPARQL queries even though they are not a part of the SPARQL syntax. One does not have to think about joins as long as their queries are restricted to basic graph patterns. However once more complex constructs appear in the query, their results are typically combined using the good old relational join operator. It has certain quirks, for example, in how it deals with nulls, and it's important to understand those to avoid result explosion and performance problems.
·stardog.com·
Joins and NULLs in SPARQL - Stardog
Aaron Bradley on Twitter
Aaron Bradley on Twitter
Distribution Knowledge Embedding for Graph Pooling https://t.co/YsQBXwbFtZ pic.twitter.com/ZXbpOKDrLC— Aaron Bradley (@aaranged) September 30, 2021
·twitter.com·
Aaron Bradley on Twitter
Petar Veličković on Twitter
Petar Veličković on Twitter
Super nice talk by @matej_zecevic on #Neuro-#Causality and our integration of graph neural networks and structural causal models. 🎞️👉 https://t.co/S2XNuOqZ61 🙏 to @JackccLu for inviting Matej! pic.twitter.com/jamZ20WoGt— Kristian Kersting (@kerstingAIML) September 28, 2021
·twitter.com·
Petar Veličković on Twitter
On Polyhierarchy
On Polyhierarchy
Bob Kasenchak discusses the uses and abuses of polyhierarchy. It is not a license to play fast and loose with the All-Some Rule.
·t.co·
On Polyhierarchy
Introduction to Graph Databases
Introduction to Graph Databases
A graph is built from a collection of nodes and relationships. Entities such as people, locations, items, or categories of data are represented by nodes; and the association between them reflects a relationship. A versatile structure like a graph enables us to model real-world applications–computer networks, social media recommendation engines, bitcoin blockchains, and more. Basing this very structure as a template, we can bring it to life by performing C.R.U.D operations through a unique management system–a graph database.
·sabaltech.com·
Introduction to Graph Databases
Thomas Kipf on Twitter
Thomas Kipf on Twitter
To showcase best practices for building/training Graph Neural Nets in JAX, we put together a comprehensive example for molecular activity prediction using Flax & JraphOfficial Flax GNN example: https://t.co/vrsyYpcdhhGreat work by @BigAmeya w/ collaborators @ Brain & DeepMind https://t.co/8L0UKgQxj5 pic.twitter.com/Jzzvxt7a3F— Thomas Kipf (@thomaskipf) October 8, 2021
·twitter.com·
Thomas Kipf on Twitter
WikiResearch on Twitter
WikiResearch on Twitter
"SYGMA: System for Generalizable Modular Question Answering Over Knowledge Bases", tested on #DBPedia and #Wikidata + a new Temporal QA benchmarkdataset based on Wikidata.(Neelam et al, 2021)data: https://t.co/0tkY9sjA9Zpaper: https://t.co/rZDw4bW56Q pic.twitter.com/XqFwp2def2— WikiResearch (@WikiResearch) October 6, 2021
·twitter.com·
WikiResearch on Twitter
Announcing Memgraph 2.0
Announcing Memgraph 2.0
Memgraph 2.0 is here! We are finally source available and ready to tame your streams.
·t.co·
Announcing Memgraph 2.0
Ruud Steltenpool🤔🔗📊🚲👨‍👩‍👧‍👧💾🌳 on Twitter
Ruud Steltenpool🤔🔗📊🚲👨‍👩‍👧‍👧💾🌳 on Twitter
Our paper titled "A Survey of #RDF Stores & #SPARQL Engines for Querying Knowledge Graphs" has been accepted to #VLDB Journal. A survey of over 120 RDF stores and #KnowledgeGraphs. https://t.co/SsFroOOBI5 @aidhog @NgongaAxel @akswgroup @DiceResearch pic.twitter.com/o4fiwG1VJq— Muhammad Saleem (@saleem_muhamad) October 3, 2021
·twitter.com·
Ruud Steltenpool🤔🔗📊🚲👨‍👩‍👧‍👧💾🌳 on Twitter
GraphQL 101: What is GraphQL?
GraphQL 101: What is GraphQL?
“Take a crash course on GraphQL, a tool for building APIs that's seeing rapid adoption. And Dgraph Cloud is the complete GraphQL platform to get you going."
·dgraph.io·
GraphQL 101: What is GraphQL?
Aaron Bradley on Twitter
Aaron Bradley on Twitter
Program Transfer and Ontology Awareness for Semantic Parsing in KBQA [Knowledge Base Question Answering] https://t.co/4UHsmhhkRz pic.twitter.com/iTyYwse9Jf— Aaron Bradley (@aaranged) October 13, 2021
·twitter.com·
Aaron Bradley on Twitter
Adding RDF Lists and Sequences To Sparql
Adding RDF Lists and Sequences To Sparql
This particular article is a discussion about a recommendation to a given standard, that of SPARQL 1.1. None of this has been implemented yet, and as such rep…
·datasciencecentral.com·
Adding RDF Lists and Sequences To Sparql
WikiResearch on Twitter
WikiResearch on Twitter
"Detecting Cross-Language Plagiarism using Open Knowledge Graphs" a new multilingual retrieval model for cross-language plagiarism, representing documents as entity vectors obtained from #Wikidata.(Stegmüller et al, #JCDL2022)https://t.co/5Uyalf4o7o pic.twitter.com/FppQzfVd97— WikiResearch (@WikiResearch) October 13, 2021
·twitter.com·
WikiResearch on Twitter