Really great explanations and research. Congrats for that! I am now searching to apply fraud Edge-Detection for a heterogeneous, attributed, dynamic graph, where the edge features are of great importance. Do you happen to know any model implementations?
This is a great overview of fraud detection methods and excellent explanation. Definitely subscribing, thank you!
what a pro! Feels like you are a great chef and NNs are your ingredients! ...yum!
I’m always impressed with your explainable ability. Thank you a lot and have a nice weekend!!!
Thanks a lot for your kind words :) have a nice weekend as well!
Fantastic video. Really appreciate the paper links as well.
Very nicely explained. thanks!
Just what I'm working on. I've been struggling with the elliptic dataset and the ethreum dataset for months. Thanks for your work, it's great for me.
Hi! What exactly are you struggling with? Is there something that I may help with? :)
@@DeepFindr I have sent you an email. I am a junior data scientist and it's hard for me hahaha. Thanks.
Just out of curiosity, have you ever tried to combine GCNs with Random Forests for elliptic dataset? I think it should work quite well :)
@@isoaso344 Yes, but this works much better ;) www.nssce.ac.in/pdf/cse/2017%20batch_poster%202.pdf
could you make some video about spectral graph theory?
Your channel is a goldmine please don't stop making videos
Thanks!
Really great explanations and research. Congrats for that! I am now searching to apply fraud Edge-Detection for a heterogeneous, attributed, dynamic graph, where the edge features are of great importance. Do you happen to know any model implementations?
Thank you!
Sorry but I've not come across anything like that so far.
Hi, can you tell me whcih one the Twitter dataset with fake news is?
Clear and easy explanation.
Please make a video on recommendation system using Graph Neural Network using dataset like Movielens.
Thanks! I'll put it on my list.
After the next video I will again make a community poll and include recommender systems there :)