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I4OC on Twitter: "We applaud today’s decision by the American Chemical Society to endorse @DORAssessment and to make citation data for all their journals openly available. One more major publisher supporting the vision of unrestricted access to scholarly citation data 🚀" / Twitter
I4OC on Twitter: "We applaud today’s decision by the American Chemical Society to endorse @DORAssessment and to make citation data for all their journals openly available. One more major publisher supporting the vision of unrestricted access to scholarly citation data 🚀" / Twitter
We applaud today’s decision by the American Chemical Society to endorse @DORAssessment and to make citation data for all their journals openly available. One more major publisher supporting the vision of unrestricted access to scholarly citation data 🚀 https://t.co/VNMwefVEbX— I4OC (@i4oc_org) February 18, 2021
·twitter.com·
I4OC on Twitter: "We applaud today’s decision by the American Chemical Society to endorse @DORAssessment and to make citation data for all their journals openly available. One more major publisher supporting the vision of unrestricted access to scholarly citation data 🚀" / Twitter
Neo4j on Twitter
Neo4j on Twitter
Our #Neo4j sandbox infrastructure got a big update. And with this there are all new versions of Neo4j, APOC, Graph Data Science, Bloom and Neosemantics available for you to learn and explore. Enjoy the new sandboxes and let us know what you think.https://t.co/HVLpAtVQ2y— Neo4j (@neo4j) February 19, 2021
·t.co·
Neo4j on Twitter
Bot do Laboratório de Humanidades Digitais da UFBA on Twitter
Bot do Laboratório de Humanidades Digitais da UFBA on Twitter
Check out Marinella Testori's brand new post featuring Carriero et al.'s preprint: ARCO: The Italian Cultural Heritage Knowledge Graphhttps://t.co/qALUUZgtBe#LinkedOpenData #DigitalHumanities #KnowledgeGraphs pic.twitter.com/UQNSXGAnc2— OpenMethods (@openmethods_dh) March 12, 2021
·twitter.com·
Bot do Laboratório de Humanidades Digitais da UFBA on Twitter
Petar Veličković on Twitter
Petar Veličković on Twitter
If you're interested in GNNs for combinatorial tasks (certainly an exciting time!), we've released our 43-page comprehensive survey on the area! + detailed blueprint of algorithmic reasoning in S3.3.https://t.co/F4TG4svKMGwith @chrsmrrs @69alodi @lyeskhalil @qcappart & Didier pic.twitter.com/P6TANTgLvr— Petar Veličković (@PetarV_93) February 19, 2021
·twitter.com·
Petar Veličković on Twitter
Neo4j on Twitter
Neo4j on Twitter
THREAD - how you can do crazy cool things with @Neo4j and Graph Data Science (GDS). This thread is going to be a walk-through example of what you can do, and how you can even found a startup on the back of this stuff.First, some background on my data: pic.twitter.com/aT6enmV5SC— 𝔻𝕒𝕧𝕚𝕕 𝔸𝕝𝕝𝕖𝕟 (@mdavidallen) February 23, 2021
·twitter.com·
Neo4j on Twitter
WikiCite on Twitter
WikiCite on Twitter
We’re thrilled to share a proposal to extend the work of the #WikiCite community, to support Wikimedia Projects and make citations: • easier for the editor,• more useful for the reader,• and more efficient for our architecture.#SharedCitationshttps://t.co/pqVwQLApNa 1/ pic.twitter.com/oALIPg7JTD— WikiCite (@Wikicite) February 22, 2021
·twitter.com·
WikiCite on Twitter
E(n) Equivariant Graph Neural Networks
E(n) Equivariant Graph Neural Networks
This paper introduces a new model to learn graph neural networks equivariant to rotations, translations, reflections and permutations called E(n)-Equivariant Graph Neural Networks (EGNNs). In...
·t.co·
E(n) Equivariant Graph Neural Networks
The LLVM Project Blog
The LLVM Project Blog
The code property graph (CPG) is a data structure designed to mine large codebases for instances of programming patterns via a domain-specific query language. It was first introduced in the proceedings of the IEEE Security and Privacy conference in 2014 (publication, PDF) in the context of vulnerability discovery in C system code and the Linux kernel in particular.
·blog.llvm.org·
The LLVM Project Blog
aws/graph-notebook
aws/graph-notebook
Library extending Jupyter notebooks to integrate with Apache TinkerPop and RDF SPARQL. - aws/graph-notebook
·t.co·
aws/graph-notebook
[2102.13085] Towards Robust Graph Contrastive Learning
[2102.13085] Towards Robust Graph Contrastive Learning
We study the problem of adversarially robust self-supervised learning on graphs. In the contrastive learning framework, we introduce a new method that increases the adversarial robustness of the...
·arxiv.org·
[2102.13085] Towards Robust Graph Contrastive Learning