Graph Transformations
Data Skeptic9 Des 2024

Graph Transformations

In this episode, Adam Machowczyk, a PhD student at the University of Leicester, specializes in graph rewriting and its intersection with machine learning, particularly Graph Neural Networks.

Adam explains how graph rewriting provides a formalized method to modify graphs using rule-based transformations, allowing for tasks like graph completion, attribute prediction, and structural evolution.

Bridging the worlds of graph rewriting and machine learning, Adam's work aspire to open new possibilities for creating adaptive, scalable models capable of solving challenges that traditional methods struggle with, such as handling heterogeneous graphs or incorporating incremental updates efficiently.

Real-life applications discussed include using graph transformations to improve recommender systems in social networks, molecular research in chemistry, and enhancing IoT network analysis.

Denne episoden er hentet fra en åpen RSS-feed og er ikke publisert av Podme. Den kan derfor inneholde annonser.

Episoder(601)

Shadow Profiles on Social Networks

Shadow Profiles on Social Networks

Emre Sarigol joins me this week to discuss his paper Online Privacy as a Collective Phenomenon. This paper studies data collected from social networks and how the sharing behaviors of individuals can ...

13 Feb 201538min

[MINI] The Chi-Squared Test

[MINI] The Chi-Squared Test

The Chi-Squared test is a methodology for hypothesis testing. When one has categorical data, in the form of frequency counts or observations (e.g. Vegetarian, Pescetarian, and Omnivore), split into tw...

6 Feb 201517min

Mapping Reddit Topics with Randy Olson

Mapping Reddit Topics with Randy Olson

My quest this week is noteworthy a.i. researcher Randy Olson who joins me to share his work creating the Reddit World Map - a visualization that illuminates clusters in the reddit community based on u...

30 Jan 201529min

[MINI] Partially Observable State Spaces

[MINI] Partially Observable State Spaces

When dealing with dynamic systems that are potentially undergoing constant change, its helpful to describe what "state" they are in.  In many applications the manner in which the state changes from on...

23 Jan 201512min

Easily Fooling Deep Neural Networks

Easily Fooling Deep Neural Networks

My guest this week is Anh Nguyen, a PhD student at the University of Wyoming working in the Evolving AI lab. The episode discusses the paper Deep Neural Networks are Easily Fooled [pdf] by Anh Nguyen,...

16 Jan 201528min

[MINI] Data Provenance

[MINI] Data Provenance

This episode introduces a high level discussion on the topic of Data Provenance, with more MINI episodes to follow to get into specific topics. Thanks to listener Sara L who wrote in to point out the ...

9 Jan 201510min

Doubtful News, Geology, Investigating Paranormal Groups, and Thinking Scientifically with Sharon Hill

Doubtful News, Geology, Investigating Paranormal Groups, and Thinking Scientifically with Sharon Hill

I had the change to speak with well known Sharon Hill (@idoubtit) for the first episode of 2015. We discuss a number of interesting topics including the contributions Doubtful News makes to getting sc...

3 Jan 201531min

[MINI] Belief in Santa

[MINI] Belief in Santa

In this quick holiday episode, we touch on how one would approach modeling the statistical distribution over the probability of belief in Santa Claus given age.

26 Des 20149min

Populært innen Vitenskap

fastlegen
tingenes-tilstand
jss
forskningno
sinnsyn
rekommandert
rss-paradigmepodden
villmarksliv
nevropodden
kvinnehelsepodden
rss-zahid-ali-hjelper-deg
liberal-halvtime
tidlose-historier
fjellsportpodden
nordnorsk-historie
pod-britannia
rss-inn-til-kjernen-med-sunniva-rose
rss-rekommandert
rss-overskuddsliv
tomprat-med-gunnar-tjomlid