Kashob Roy

[Kashob Roy @forkkr]

@Saif_M_Dhrubo @GeorgiaTech Congratulations!! Best wishes for the next journey!

[Kashob Roy @forkkr]

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

[Kashob Roy @forkkr]

@FarihaAnna Congratulations, ma’am.

[Kashob Roy @forkkr]

Find our preprint here - https://t.co/fQGcpj1H5M

@AmitRoy7781 @aminahsanali

[Crossminds.ai @CrossmindsAI]

[#IJCNN2021 Paper] Unified Spatio-Temporal Modeling for Traffic Forecasting using Graph Neural Network by researchers from @iubedu @forkkr @Saif_M_Dhrubo #paperswithvideo #deeplearning #neuralnetwork #graph
https://t.co/sanC0bJaex

[Animesh Garg @animesh_garg]

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

[Kashob Roy @forkkr]

Accepted at IJCNN 2021 (3/3)

With @AmitRoy778, @aminahsanali

[arXiv Daily @Arxiv_Daily]

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

[Kashob Roy @forkkr]

Accepted at IJCNN 2021 (2/3).

With @AmitRoy7781, @aminahsanali

[arXiv Daily @Arxiv_Daily]

Structure-Aware Hierarchical Graph Pooling using Information Bottleneck
https://t.co/QHAgLr4RhE
by Kashob Kumar Roy et al. including @AmitRoy7781
#NeuralNetwork #ComputerScience

[Kashob Roy @forkkr]

Accepted at #IJCNN 2021.

with @AmitRoy7781, @aminahsanali

[arXiv Daily @Arxiv_Daily]

Unified Spatio-Temporal Modeling for Traffic Forecasting using Graph Neural Network
https://t.co/ntoVg5knso
by @AmitRoy7781 et al.
#NeuralNetwork #RecurrentNeuralNetwork

[Amit Roy @AmitRoy7781]

Thanks for featuring our paper.
@forkkr @aminahsanali @Graph_NN
#GNN

[Petar Veličković @PetarV_93]

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

[Kashob Roy @forkkr]

@Saif_M_Dhrubo @TanjidTonmoy @pakdd_social Congratulations buddies :D

[Kashob Roy @forkkr]

05/02-08/02. Endlessly growing ☹️

[Kashob Roy @forkkr]

28/01-15/05-14/10-14/10-11/12.
Can’t take it anymore.

[Kashob Roy @forkkr]

@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.

[Kashob Roy @forkkr]

@hshq_moon Thanks, bro. Wish you more great years ahead.

[Kashob Roy @forkkr]

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.”

[Chad Scherrer @ChadScherrer]

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 🙂

[Kashob Roy @forkkr]

#GraphML

[Michael Bronstein @mmbronstein]

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.

[Petar Veličković @PetarV_93]

📘 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

[Kirk Borne @KirkDBorne]

997-page book "Dive into #DeepLearning" teaches the ideas, #mathematics, and #coding that power it.

Learn more: https://t.co/jBSWxsMFbo

★★★★FREE Download: https://t.co/YCevijoZVz

#BigData #DataScience #AI #MachineLearning #Algorithms #NeuralNetworks #DataScientists #Python

[Kashob Roy @forkkr]

A good blog post to read.

[Maithra Raghu @maithra_raghu]

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 ⬇️