Why does software development velocity slow as a company scales? See how you can improve your company's knowledge graph with Kubernetes.

According to Reinforcement Knowledge Graph Reasoning for Explainable Recommendation

level discernment and zero manual research or entry.

Welcome to this week’s #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight.

wide crawlers can crawl the exact same pages and pull out extensively different data.

The coronavirus pandemic is disrupting universities and research institutes across the world. But the same institutions are also working very hard to find out how the disease can be stopped and its effects mitigated.

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Intelligent systems designed using machine learning algorithms require a

PubMed is an essential resource for the medical domain, but useful concepts

This blog post by Steve Sarsfield provides an overview of the graph market and how to select the appropriate graph database for your particular use case.

It’s the engine that makes an AI advisor feel like a data expert in your pocket — find out what it does.Continue reading on Ideas @ iGenius »

We address the problem of learning a distributed representation of entities

eBay researchers recently published a paper about a method for KG relation embedding using dihedral group. Experimental results on benchmark KGs show that the model outperforms existing bilinear form models and even deep learning methods.

As most of the global workforce goes remote in 2020, businesses and budgets are changing due to a decrease or increase in site traffic. Since this pandemic is new for marketers and organizations, there isn’t exactly a marketing blueprint but one channel is proven to outlast pandemics: Search Engine Optimization (SEO).

In this paper, an overview of the state of the art on knowledge graph

Facebook’s recent $5.7 billion investment in Indian telecommunications behemoth Jio Platforms goes beyond the typical tech deal and will help the American social media titan finally unlock the world's biggest democracy.

sized – offer products and services to help in the fight.

Recently, link prediction algorithms based on neural embeddings have gained

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box, sign up here.

DQN)

A refresher on the Google Knowledge Graph and how you can find facts about people, places and things in knowledge panels on Search.

Want to build from these basics. an introduction:

There are only a handful of publicly available knowledge graphs. And among those, only a few provide data with enough breadth to in some way represent the entire internet, and with enough granulari…

3DSculptor/Getty Images Every big company now manages a proliferation of sites, apps, and technology systems for interacting with buyers and managing everything in the business, from customers and clients to inventory and products. These systems are spitting out data continuously. But even after multiple generations of investments and billions of dollars of digital transformations, organizations struggle to use that data to improve customer service, reduce costs, and speed the core processes that provide competitive advantage. AI was supposed to help with that. But as an executive at a major life insurance company recently told me (Seth), “Every one of our competitors and most of the organizations of our size in other industries have spent at least a few million dollars on failed AI initiatives.” Why? My 20 years of experience working with companies on their information technology have shown me the reason: because promises of AI vendors don’t pay off unless a company’

Bob Kasenchak and Ahren Lehnert, Synaptica

RDF* is an extension to RDF that provides

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From loticoSpeaker: Jeen Broekstra

world applications. The OGB data loaders are fully compatible with popular graph deep learning frameworks, including Pytorch Geometric and DGL. They provide automatic dataset downloading, standardized dataset splits, and unified performance evaluation.