Discover this podcast and so much more

Podcasts are free to enjoy without a subscription. We also offer ebooks, audiobooks, and so much more for just $11.99/month.

Everything is just a wicked graph with Benedek Rozemberczki - 009

Everything is just a wicked graph with Benedek Rozemberczki - 009

FromMachine Learning Cafe


Everything is just a wicked graph with Benedek Rozemberczki - 009

FromMachine Learning Cafe

ratings:
Length:
50 minutes
Released:
Apr 22, 2020
Format:
Podcast episode

Description

In this episode, our guest is Benedek Rozemberczki who is a Data Science Phd candidate at University of Edinburgh and also the owner of the github repo Karate Club where he implemented more than 30 scientific papers about Graphs and ML. Karate Club: https://github.com/benedekrozemberczki/karateclub Papers on Graph Classification: https://github.com/benedekrozemberczki/awesome-graph-classification Papers on Node (Network) Embedding: https://github.com/chihming/awesome-network-embedding Papers on Graph Neural Networks: https://github.com/naganandy/graph-based-deep-learning-literature Papers on Graph Clustering: https://github.com/benedekrozemberczki/awesome-community-detection Deep Learning on Graphs: https://pytorch-geometric.readthedocs.io/en/latest/ https://www.dgl.ai/ Graph Kernels: https://github.com/jajupmochi/graphkit-learn Datasets https://snap.stanford.edu/ https://ls11-www.cs.tu-dortmund.de/staff/morris/graphkerneldatasets https://chrsmrrs.github.io/datasets/   ---General Info--- About the host: Miklos Toth is a Machine Learning enthusiast who is also teaching Machine Learning and Deep Learning at international companies, working on various ML projects as an engineer. About the co-host: Levente Szabados is a Deep tech leader, consultant, and manager with a special interest in artificial intelligence, cognitive sciences, data science, and deep learning. He is teaching various ML courses at the Frankfurt School of Finance and Management. About the podcast: The podcast was created to serve the technical community with details of ML algorithms, use-cases. The episodes are recorded in Budapest, Hungary, Europe. Website of the podcast: http://machinelearningcafe.org/ Host's LinkedIn: https://www.linkedin.com/in/miklostoth/ Co-Host LinkedIn: https://www.linkedin.com/in/levente-szabados-76334728/ Write an email to the host: miklos@machinelearningcafe.org Equipment: On the host's side the show is recorded with Rode Procaster and with Roland Quad-Capture audio interface.   ---Copyright Info--- Music is from https://filmmusic.io, intro first part is by Miklos Toth and some free garage band loops. :) intro second part: "Aces High" by Kevin MacLeod, outro "Acid Trumpet" by Kevin MacLeod (https://incompetech.com), License: CC BY (http://creativecommons.org/licenses/by/4.0/)
Released:
Apr 22, 2020
Format:
Podcast episode

Titles in the series (16)

This is a machine-learning-focused Podcast, where we interview people in the field of Artificial Intelligence and discuss interesting technical topics of Machine Learning. In the episodes, we focus on business-related use-cases (especially with Deep Learning ) and we also try to bring some technical white papers to the ground, not forgetting on the way that there are always some people behind the technology, so we try to understand their motivation and drive.