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Summary

Graph Machine Learning (GML) is receiving growing interest within the pharmaceutical and biotechnology industries for its ability to model biomolecular structures, the functional relationships...

Can Machine Learning Do Symbolic Manipulation?  I spent some time over the holidays engaged in a fascinating online conversation. The gist of it was a variation of an argument that has been going on in the realm of artificial intelligence from the time of Minsky and Seymour Papert: Whether it is possible for neural networks to… Read More »DSC Weekly Digest 04 Jan 2022: Can Machine Learning Do Symbolic Manipulation?

How and why the best companies are adopting Graph Visual Analytics, Graph AI, and Graph Neural Networks. By Leo Meyerovich and Ben Lorica. [A version of this post originally appeared on the Graphistry blog.] In this post, we highlight the current state of Graph Intelligence, a new technology category around new tools and techniques forContinue reading "What is Graph Intelligence?"

Artificial Intelligence has a long history of oscillating between two somewhat contradictory poles. On one side, exemplified by Noam Chomsky, Marvin Minsky, Seymour Papert, and many others, is the idea that cognitive intelligence was algorithmic in nature – that there were a set of fundamental precepts that formed the foundation of language, and by extension,… Read More »Where Semantics and Machine Learning Converge

Very honored to receive the ELLIS PhD Award for my thesis on Deep Learning with Graph-Structured Representations -- alongside with with @NagraniArsha for her work on multimodal DL (congrats!) https://t.co/FUzNA87okN pic.twitter.com/W2KrbQN7yS— Thomas Kipf (@thomaskipf) December 9, 2021

Hot trends and major advancements

The expressive power of Message-Passing Graph Neural Networks is inherently limited due to their equivalence to the Weisfeiler-Lehman graph isomorphism...

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

"The Open Application Group (OAGi) and the Industrial Ontologies Foundry (IOF) have signed an agreement to produce industrial ontologies." [PR] https://t.co/zz511UBuYE— Aaron Bradley (@aaranged) March 3, 2021

Our work has been published in Nature!!! (G)NNs can successfully guide the intuition of mathematicians & yield top-tier results -- in both representation... 48 comments on LinkedIn

[DevFest Casablanca 2021 Speakers 😎] Anas AIT AOMAR, Engineering Student at Emines school of industrial management. who also payback to the community...

How to tune the hyperparameters of FastRP to your specific problem

Sometime I become so addicted to a particular framework that I completely forget about how the world is changing out there. Therefore…

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

The number of users approaching the world of cryptocurrencies exploded in the last years, and consequently the daily interactions on their underlying distributed ledgers have intensified. In this...

My keynote at CIKM 2021 workshop on Knowledge Injection in Neural Networks--about uses/misuses of #LLMs, importance of explicit knowledge, and our ongoing...

SpikeX: spaCy Pipes for Knowledge Extraction 🧶 WikiPageX links Wikipedia pages to chunks in text 💎 ClusterX picks noun chunks in a text and clusters... 13 comments on LinkedIn

Do you want to know what’s in store for the future of AI? Catch these deep learning experts in a panel led by our own Gadi Singer. Panelists Gary Marcus...

🎉 We are excited to announce the first release of SkillNer today (check the demo: bit.ly/3pA8CRg). Skillner is the first  open-source library to extract... 10 comments on LinkedIn

A new class of GNNs! This Tuesday in the #graph reading group, James Rowbottom and Ben Chamberlain present their "GRAND: Graph Neural Diffusion" paper ...

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

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

Graph neural networks (GNN) are a type of machine learning algorithm that can extract important information from graphs and make useful predictions.

Here's the recording of my session "Better Project Management with Knowledge Graphs" at the PMI Fair Benelux 2021.#projectmanagement #knowledgegraph #PKGhttps://t.co/ldG671YDpr— Ivo Velitchkov (@kvistgaard) October 18, 2021

We are proud to introduce WebQA, a dataset for multi-hop, multi-modal open-domain question answering challenge, to be hosted at NeurIPS 2021 Competition Track. Designed to simulate the heterogeneous information landscape one might expect when performing web search, WebQA contains 46K knowledge-seeking queries whose answers are to be found in either images or text snippets, where a system must…

Marketers and media owners are looking for ways to get the most out of consumer data amid changes to privacy laws and growing restraints on online audience tracking. They can un...