Alan John Varghese

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All published works
Action Title Year Authors
+ PDF Chat Automatic selection of the best neural architecture for time series forecasting via multi-objective optimization and Pareto optimality conditions 2025 Qianying Cao
Shanqing Liu
Alan John Varghese
Jérôme Darbon
Michael S. Triantafyllou
George Em Karniadakis
+ PDF Chat A Comparative Study on Dynamic Graph Embedding Based on Mamba and Transformers 2025 Ajay Kumar Pandey
Alan John Varghese
S J Patil
Mengjia Xu
+ PDF Chat A Comparative Study on Dynamic Graph Embedding based on Mamba and Transformers 2024 Ajay Kumar Pandey
Alan John Varghese
S J Patil
Mengjia Xu
+ PDF Chat From PINNs to PIKANs: Recent Advances in Physics-Informed Machine Learning 2024 Juan Diego Toscano
Vivek Oommen
Alan John Varghese
Zongren Zou
Nazanin Ahmadi Daryakenari
Chenxi Wu
George Em Karniadakis
+ PDF Chat SympGNNs: Symplectic Graph Neural Networks for identifiying high-dimensional Hamiltonian systems and node classification 2024 Alan John Varghese
Zhen Zhang
George Em Karniadakis
+ PDF Chat GPT vs Human for Scientific Reviews: A Dual Source Review on Applications of ChatGPT in Science 2024 Chenxi Wu
Alan John Varghese
Vivek Oommen
George Em Karniadakis
+ PDF Chat TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers 2023 Alan John Varghese
Aniruddha Bora
Mengjia Xu
George Em Karniadakis
+ TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers 2023 Alan John Varghese
Aniruddha Bora
Mengjia Xu
George Em Karniadakis
+ PDF Chat Transformerg2g: Adaptive Time-Stepping for Learning Temporal Graph Embeddings Using Transformers 2023 Alan John Varghese
Aniruddha Bora
Mengjia Xu
George Em Karniadakis
+ GPT vs Human for Scientific Reviews: A Dual Source Review on Applications of ChatGPT in Science 2023 Chenxi Wu
Alan John Varghese
Vivek Oommen
George Em Karniadakis
+ Capturing multifractality of pressure fluctuations in thermoacoustic systems using fractional-order derivatives 2021 Alan John Varghese
Aleksei V. Chechkin
Ralf Metzler
R. I. Sujith
+ PDF Chat Universality in spectral condensation 2020 Induja Pavithran
Vishnu R. Unni
Alan John Varghese
Premraj Durairaj
R. I. Sujith
C. Vijayan
Abhishek Saha
Norbert Marwan
Jürgen Kurths
+ PDF Chat Universality in the emergence of oscillatory instabilities in turbulent flows 2020 Induja Pavithran
Vishnu R. Unni
Alan John Varghese
R. I. Sujith
Abhishek Saha
Norbert Marwan
Jürgen Kurths
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Bose-Einstein Condensation in Complex Networks 2001 Ginestra Bianconi
Albert‐László Barabási
1
+ Fractional diffusion and wave equations 1989 W. R. Schneider
Walter Wyss
1
+ PDF Chat Condensation in globally coupled populations of chaotic dynamical systems 1998 Damián H. Zanette
Alexander S. Mikhailov
1
+ PDF Chat Analysis of the Van der Pol Oscillator Containing Derivatives of Fractional Order 2007 Ramiro S. Barbosa
J. A. Tenreiro Machado
Blas M. Vinagre
Antonio José Calderón
1
+ Solutions of a fractional oscillator by using differential transform method 2009 Adel Al-rabtah
Vedat Suat Ertürk
Shaher Momani
1
+ Fractional diffusion in plasma turbulence 2004 D. del-Castillo-Negrete
B. A. Carreras
V. E. Lynch
1
+ PDF Chat Anomalous diffusion models and their properties: non-stationarity, non-ergodicity, and ageing at the centenary of single particle tracking 2014 Ralf Metzler
Jae‐Hyung Jeon
Andrey G. Cherstvy
Eli Barkai
1
+ The time fractional diffusion-wave equation 1996 Francesco Mainardi
1
+ PDF Chat Condensation in Disordered Lasers: Theory,<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mn>3</mml:mn><mml:mi mathvariant="normal">D</mml:mi><mml:mo>+</mml:mo><mml:mn>1</mml:mn></mml:math>Simulations, and Experiments 2008 Claudio Conti
Marco Leonetti
Andrea Fratalocchi
L. Angelani
G. Ruocco
1
+ PDF Chat Multifractal detrended fluctuation analysis of nonstationary time series 2002 Jan W. Kantelhardt
Stephan Zschiegner
Eva Koscielny–Bunde
Shlomo Havlin
Armin Bunde
H. Eugene Stanley
1
+ PDF Chat Fractional wave equation and damped waves 2013 Yuri Luchko
1
+ PDF Chat Relative Dispersion in Fully Developed Turbulence: The Richardson’s Law and Intermittency Corrections 2002 G. Boffetta
Igor M. Sokolov
1
+ Application of Fractional Calculus to Fluid Mechanics 2002 Vladimír Kulish
José Luis Caramés Lage
1
+ PDF Chat Bose–Einstein condensation of photons in an optical microcavity 2010 Jan Klaers
Julian Schmitt
Frank Vewinger
Martin Weitz
1
+ PDF Chat The Periodic Solution of Fractional Oscillation Equation with Periodic Input 2013 Jun‐Sheng Duan
1
+ On the time-fractional Navier–Stokes equations 2016 Yong Zhou
Li Peng
1
+ Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking 2017 Aleksandar Bojchevski
Stephan Günnemann
1
+ DynGEM: Deep Embedding Method for Dynamic Graphs 2018 Palash Goyal
Nitin Kamra
Xinran He
Yan Liu
1
+ Embedding Temporal Network via Neighborhood Formation 2018 Yuan Zuo
Guannan Liu
Hao Lin
Jia Guo
Xiaoqian Hu
Junjie Wu
1
+ PDF Chat Stokes mode Raman random lasing in a fully biocompatible medium 2018 Venkata Siva Gummaluri
Sivarama Krishnan
C. Vijayan
1
+ PDF Chat dyngraph2vec: Capturing network dynamics using dynamic graph representation learning 2019 Palash Goyal
Sujit Rokka Chhetri
Arquimedes Canedo
1
+ PDF Chat Aging Renewal Theory and Application to Random Walks 2014 Johannes H. P. Schulz
Eli Barkai
Ralf Metzler
1
+ Net2Net: Accelerating Learning via Knowledge Transfer 2015 Tianqi Chen
Ian Goodfellow
Jonathon Shlens
1
+ Transport and escape in a deformable channel driven by fractional Gaussian noise 2019 Ruoxing Mei
Yong Xu
Jürgen Kurths
1
+ PDF Chat EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs 2020 Aldo Pareja
Giacomo Domeniconi
Jie Chen
Tengfei Ma
Toyotaro Suzumura
Hiroki Kanezashi
Tim Kaler
Tao B. Schardl
Charles E. Leiserson
1
+ A Survey on Knowledge Graphs: Representation, Acquisition, and Applications 2021 Shaoxiong Ji
Shirui Pan
Erik Cambria
Pekka Marttinen
Philip S. Yu
1
+ PDF Chat Universality in the emergence of oscillatory instabilities in turbulent flows 2020 Induja Pavithran
Vishnu R. Unni
Alan John Varghese
R. I. Sujith
Abhishek Saha
Norbert Marwan
Jürgen Kurths
1
+ Inductive Representation Learning on Temporal Graphs 2020 Da Xu
Chuanwei Ruan
Evren Körpeoğlu
Sushant Kumar
Kannan Achan
1
+ A Survey on Dynamic Network Embedding 2020 Yu Xie
Chunyi Li
Bin Yu
Chen Zhang
Zhouhua Tang
1
+ PDF Chat Fractional oscillator 2004 A. A. Stanislavsky
1
+ PDF Chat Stability, sensitivity and optimisation of chaotic acoustic oscillations 2019 Francisco Huhn
Luca Magri
1
+ PDF Chat Rate-dependent tipping-delay phenomenon in a thermoacoustic system with colored noise 2020 Xiaoyu Zhang
Yong Xu
Qi Liu
Jürgen Kurths
1
+ PDF Chat 25 Years of Self-organized Criticality: Concepts and Controversies 2015 N. W. Watkins
Gunnar Pruessner
S. C. Chapman
Norma B. Crosby
Henrik Jeldtoft Jensen
1
+ When does single-mode lasing become a condensation phenomenon? 2012 Baruch Fischer
Rafi Weill
1
+ PDF Chat DeepWalk 2014 Bryan Perozzi
Rami Al‐Rfou
Steven Skiena
1
+ Heterogeneous diffusion processes and nonergodicity with Gaussian colored noise in layered diffusivity landscapes 2020 Yong Xu
Xuemei Liu
Yongge Li
Ralf Metzler
1
+ A Graph Gaussian Embedding Method for Predicting Alzheimer's Disease Progression With MEG Brain Networks 2021 Mengjia Xu
David López Sanz
Pilar Garcés
Fernando Maestú
Quanzheng Li
Dimitrios Pantazis
1
+ Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution 2022 Fuxian Li
Jie Feng
Huan Yan
Guangyin Jin
Fan Yang
Funing Sun
Depeng Jin
Yong Li
1
+ FastGAE: Scalable graph autoencoders with stochastic subgraph decoding 2021 Guillaume Salha
Romain Hennequin
Jean-Baptiste Remy
Manuel Moussallam
Michalis Vazirgiannis
1
+ PDF Chat DynG2G: An Efficient Stochastic Graph Embedding Method for Temporal Graphs 2022 Mengjia Xu
Apoorva Vikram Singh
George Em Karniadakis
1
+ PDF Chat Dynamic network embedding survey 2021 Guotong Xue
Ming Zhong
Jianxin Li
Jia Chen
Chengshuai Zhai
Ruochen Kong
1
+ Understanding Graph Embedding Methods and Their Applications 2021 Mengjia Xu
1
+ PDF Chat Geometry-enhanced molecular representation learning for property prediction 2022 Xiaomin Fang
Lihang Liu
Jieqiong Lei
Donglong He
Shanzhuo Zhang
Jingbo Zhou
Fan Wang
Hua Wu
Haifeng Wang
1
+ Modularity-aware graph autoencoders for joint community detection and link prediction 2022 Guillaume Salha
Johannes F. Lutzeyer
George Dasoulas
Romain Hennequin
Michalis Vazirgiannis
1
+ Towards Better Evaluation for Dynamic Link Prediction 2022 Farimah Poursafaei
Shenyang Huang
Kellin Pelrine
Reihaneh Rabbany
1
+ PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations 2021 Moshe Eliasof
Eldad Haber
Eran Treister
1
+ Temporal Graph Networks for Deep Learning on Dynamic Graphs 2020 Emanuele Rossi
Ben Chamberlain
Fabrizio Frasca
Davide Eynard
Federico Monti
Michael M. Bronstein
1
+ Learning continuous-time PDEs from sparse data with graph neural networks 2020 Valerii Iakovlev
Markus Heinonen
Harri Lähdesmäki
1
+ PDF Chat ROLAND: Graph Learning Framework for Dynamic Graphs 2022 Jiaxuan You
Tianyu Du
Jure Leskovec
1
+ PDF Chat Everything is connected: Graph neural networks 2023 Petar Veličković
1