Embedding knowledge on ontology into the corpus by topic to improve the performance of deep learning methods in sentiment analysis - Scientific Reports https://t.co/W0lKPRCh84 #DL #AI #ML #DeepLearning #ArtificialIntelligence #MachineLearning #ComputerVision #AutonomousVehicles— Deep_In_Depth (@Deep_In_Depth) December 11, 2021

UFO: Unified Foundational Ontology / Giancarlo Guizzardi et al. https://t.co/GuTFxstIqV pic.twitter.com/9BJG1GUdIt— Aaron Bradley (@aaranged) December 16, 2021

Excited to share a Colab tutorial on graph neural networks with the JAX+Jraph stack, which we use in-house at DeepMind! Developed by Lisa Wang and Nikola... 12 comments on LinkedIn

Last week Google added Graph Neural Network support to TensorFlow. This comes in the wake of PyTorch Geometric getting a lot of support from Meta (formerly...

G.V() is an all-in-one Gremlin IDE to write, test and analyze results for your TinkerPop-enabled graph database - in open beta now and looking for feedback: https://t.co/0FLK7kC9K9 #graphdb pic.twitter.com/7U8PeKFsm9— TinkerPop (@apachetinkerpop) November 22, 2021

How to tune the hyperparameters of FastRP to your specific problem

Papers With Code highlights trending Machine Learning research and the code to implement it.

Classical event logs have the fundamental shortcoming of describing process behavior only in isolated process executions from the viewpoint of a single case entity. Most real-life processes involve…

Excited to share our collaboration with @GoogleAI: SMORE is a scalable knowledge graph completion and multi-hop reasoning system that scales to hundreds of millions of entities and relations. @ren_hongyu, @hanjundai, et al.https://t.co/O2xM9iYMjihttps://t.co/BImVmbZAFi pic.twitter.com/H52aFOejkv— Jure Leskovec (@jure) November 1, 2021

This week’s publication of the Pandora Papers--which the International Consortium of International Journalists based on a trove of private data leaked

While many of the programming libraries encapsulate the inner working details of graph and other algorithms, as a data scientist it helps a lot having a reason…

Distribution Knowledge Embedding for Graph Pooling https://t.co/YsQBXwbFtZ pic.twitter.com/ZXbpOKDrLC— Aaron Bradley (@aaranged) September 30, 2021

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

Breadcrumbs is a blockchain analytics platform accessible to everyone. It offers a range of tools for investigating, monitoring, tracking, and sharing r...

Open Source Tool - Cybersecurity Graph Database in Neo4j - GitHub - amberzovitis/GraphKer: Open Source Tool - Cybersecurity Graph Database in Neo4j

"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

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

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

"No Need to Know Everything! Efficiently Augmenting Language Models With External Knowledge" Instead of packing all knowledge in the model, the system provides external Wiki knowledge and trains the model to use that source.(Kaur et al 2021)https://t.co/U3VcZn0XyY@sbhatia_ pic.twitter.com/XNPZj5Neys— WikiResearch (@WikiResearch) October 15, 2021

Knowledge Graph-enhanced Sampling for Conversational Recommender System https://t.co/LfD8ixZT7K pic.twitter.com/H5HFPYsAXN— Aaron Bradley (@aaranged) October 14, 2021

Boosting Graph Embedding on a Single GPU https://t.co/ozJ60Kz5Yi pic.twitter.com/XJqPDRNDOK— Aaron Bradley (@aaranged) October 20, 2021

"Our knowledge graph form of NOAA climate data facilitates the supply of semantic climate information to researchers and offers a variety of semantic applications that can be built on top of it." https://t.co/2C2ZAUGSJy pic.twitter.com/Z459afns5S— Aaron Bradley (@aaranged) October 20, 2021

"Language Models As or For Knowledge Bases" a position paper about strengths, limitations and complementarity of language model and knowledge bases.(Razniewski et al, 2021)https://t.co/TZisPy3hHH@maxplanckpress @andrewyates pic.twitter.com/252pQFxwau— WikiResearch (@WikiResearch) October 21, 2021

Some delayed thoughts on @bobdc's recent post "you probably don't need OWL". Interesting how our different backgrounds lead us to different perspectives, in the life sciences OWL seems more popular for ontologies 1/n https://t.co/LMC8pX176p— Chris Mungall (@chrismungall) October 20, 2021

ANNOUNCEMENT: Aaron Bradley - knowledge graph strategist at Electronic Arts (EA) – joins the Trace Labs advisory board to advise the team on strategies...

We are excited to announce that we are running an online panel this November where will explore the foundations of why graphs are the right tool for complexity...

Excited to share that our Open Graph Benchmark Large-Scale Challenge (OGB-LSC) paper has been accepted to NeurIPS! We have updated our datasets and released...

The framework achieves great coverage and performance across different incident triaging scenarios, and also outperforms other state-of-the-art root cause analysis methodologies.