if interested in pattern mining, feel free to download our journal article on sequential pattern mining from this freely accessible link (within Dec 18, 2021):
After 2.5 years of rigorous journey, we (with Hasibul Haque Moon) h…https://t.co/SeUhTPJije https://t.co/jQLeVJAQGV
As @NeurIPSConf#NeurIPS2021 deadline approaches, I've consolidated some technical writing tips.
Succinct answers to each of the questions,
Voila, you have a crisp Introduction!
Expand on prior work, intuition/tech details, & expts for the rest ensuring the why is always clear
Node Embedding using Mutual Information and Self-Supervision based Bi-level Aggregation
https://t.co/EE1n0ttYvo
by Kashob Kumar Roy et al. including @AmitRoy7781#Estimator#Statistics
Structure-Aware Hierarchical Graph Pooling using Information Bottleneck
https://t.co/QHAgLr4RhE
by Kashob Kumar Roy et al. including @AmitRoy7781#NeuralNetwork#ComputerScience
The recording of my talk on Theoretical Foundations of Graph Neural Networks is now live (+slides in desc.)! 🕸️
Join me as I derive GNNs from first principles, motivate their use in the sciences, and explain how they emerged along several research lines.
https://t.co/bzigwAJGNr
@ImMuntasir@virginia_tech@VT_CS Big Big Congratulations Bhai.! had seen the toughest race to get a slot for visa interview. Couldn't imagine the patience of those guys who were going through that days.
To me it’s a terrible year, except for January because of having done with undergrad & had a Rag Tour. Apart from that, Nothing good happened at all. Finally it’s over. Looking forward to having great years ahead. “Leave all negatives behind, take with all positives onwards.”
My book recommendations for #Bayesian analysis:
• Kevin Murphy: https://t.co/N2dD9mZtbD
• David MacKay: https://t.co/IzbiF5AMOc
• David Barber: https://t.co/2I87T0kPNo
• Chris Bishop: https://t.co/8eWgrt6N1S
All free online. Of course buy them if you can afford it 🙂
In summer 2020, I started writing a blog on #GraphML in @TDataScience
https://t.co/APRLPZaJAH
It was a new and rewarding experience, from which I learned a lot. I was surprised that such a technical topic would attract >200K views and >6K claps in less than half a year.
📘 The draft 2021 edition of Kevin Murphy's comprehensive machine learning book is out now.
Along with a shiny new graph embeddings section (V.23) wonderfully curated by @phanein! Should be a wonderful read :)
https://t.co/qbV0f4tly7
New blog post: "Reflections on my (Machine Learning) PhD Journey" https://t.co/abXiTFntIp
2020 has marked the end of my six year PhD journey, filled with struggles, success and evolution of personal & research perspectives. In the post I share experiences and lessons learned ⬇️