Xiaowen Dong

Ning Zhang

CoRR, 2024

STEntConv: Predicting Disagreement with Stance Detection and a Signed Graph Convolutional Network.

[BibT_eX]

[DOI]

Isabelle Lorge

Li Zhang

Janet B. Pierrehumbert

CoRR, 2024

Rough Transformers for Continuous and Efficient Time-Series Modelling.

[BibT_eX]

[DOI]

CoRR, 2024

Decentralized and Lifelong-Adaptive Multi-Agent Collaborative Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Hypergraph Node Classification With Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2024

A Characterization Theorem for Equivariant Networks with Point-wise Activations.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Local2Global: a distributed approach for scaling representation learning on graphs.

[BibT_eX]

[DOI]

Mach. Learn., May, 2023

Gaussian Processes on Graphs Via Spectral Kernel Learning.

[BibT_eX]

[DOI]

Yin-Cong Zhi

Yin Cheng Ng

IEEE Trans. Signal Inf. Process. over Networks, 2023

Hypergraph Transformer for Semi-Supervised Classification.

[BibT_eX]

[DOI]

CoRR, 2023

Hypergraph-MLP: Learning on Hypergraphs without Message Passing.

[BibT_eX]

[DOI]

Bohan Tang

Siheng Chen

Haitz Sáez de Ocáriz Borde

CoRR, 2023

Gromov-Hausdorff Distances for Comparing Product Manifolds of Model Spaces.

[BibT_eX]

[DOI]

CoRR, 2023

Hypergraph Structure Inference From Data Under Smoothness Prior.

[BibT_eX]

[DOI]

Bohan Tang

Siheng Chen

CoRR, 2023

Learning to Learn Financial Networks for Optimising Momentum Strategies.

[BibT_eX]

[DOI]

CoRR, 2023

Network Momentum across Asset Classes.

[BibT_eX]

[DOI]

CoRR, 2023

Graph Neural Networks for Forecasting Multivariate Realized Volatility with Spillover Effects.

[BibT_eX]

[DOI]

CoRR, 2023

On the Impact of Sample Size in Reconstructing Graph Signals.

[BibT_eX]

[DOI]

Baskaran Sripathmanathan

CoRR, 2023

Structure-aware robustness certificates for graph classification.

[BibT_eX]

[DOI]

Pierre Osselin

Haitz Sáez de Ocáriz Borde

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Graph classification Gaussian processes via spectral features.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Bayesian Optimisation of Functions on Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DRew: Dynamically Rewired Message Passing with Delay.

[BibT_eX]

[DOI]

Benjamin Gutteridge

Francesco Di Giovanni

Proceedings of the International Conference on Machine Learning, 2023

Learning Hypergraphs From Signals With Dual Smoothness Prior.

[BibT_eX]

[DOI]

Bohan Tang

Siheng Chen

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Understanding stock market instability via graph auto-encoders.

[BibT_eX]

[DOI]

Dragos Gorduza

Stefan Zohren

CoRR, 2022

Transductive Kernels for Gaussian Processes on Graphs.

[BibT_eX]

[DOI]

CoRR, 2022

Unrolled Graph Learning for Multi-Agent Collaboration.

[BibT_eX]

[DOI]

CoRR, 2022

Maximum Entropy Approach to Massive Graph Spectrum Learning with Applications.

[BibT_eX]

[DOI]

Algorithms, 2022

Modeling Ideological Salience and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity.

[BibT_eX]

[DOI]

Valentin Hofmann

Janet B. Pierrehumbert

Hinrich Schütze

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

On the Unreasonable Effectiveness of Feature Propagation in Learning on Graphs With Missing Node Features.

[BibT_eX]

[DOI]

Emanuele Rossi

Benjamin Paul Chamberlain

Maria I. Gorinova

Benjamin Paul Chamberlain

Proceedings of the Learning on Graphs Conference, 2022

Learning to Infer Structures of Network Games.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Understanding over-squashing and bottlenecks on graphs via curvature.

[BibT_eX]

[DOI]

Jake Topping

Francesco Di Giovanni

Proceedings of the Tenth International Conference on Learning Representations, 2022

Adaptive Gaussian Processes on Graphs via Spectral Graph Wavelets.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Kernel-Based Graph Learning From Smooth Signals: A Functional Viewpoint.

[BibT_eX]

[DOI]

IEEE Trans. Signal Inf. Process. over Networks, 2021

Correction to: Bayesian Topology Learning and noise removal from network data.

[BibT_eX]

[DOI]

Mahmoud Ramezani-Mayiami

Mohammad Hajimirsadeghi

Discov. Internet Things, 2021

Bayesian Topology Learning and noise removal from network data.

[BibT_eX]

[DOI]

Mahmoud Ramezani Mayiami

Mohammad Hajimirsadeghi

Discov. Internet Things, 2021

Adversarial Attacks on Graph Classification via Bayesian Optimisation.

[BibT_eX]

[DOI]

CoRR, 2021

Local2Global: Scaling global representation learning on graphs via local training.

[BibT_eX]

[DOI]

CoRR, 2021

Adversarial Attacks on Graph Classifiers via Bayesian Optimisation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning to Learn Graph Topologies.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Beltrami Flow and Neural Diffusion on Graphs.

[BibT_eX]

[DOI]

Ben Chamberlain

James Rowbottom

Davide Eynard

Francesco Di Giovanni

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Interpretable Stability Bounds for Spectral Graph Filters.

[BibT_eX]

[DOI]

Dorina Thanou

Proceedings of the 38th International Conference on Machine Learning, 2021

Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

On The Stability of Graph Convolutional Neural Networks Under Edge Rewiring.

[BibT_eX]

[DOI]

Dorina Thanou

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Graph Signal Processing for Machine Learning: A Review and New Perspectives.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2020

Segregated interactions in urban and online space.

[BibT_eX]

[DOI]

EPJ Data Sci., 2020

Sentiment Diffusion in Financial News Networks and Associated Market Movements.

[BibT_eX]

[DOI]

CoRR, 2020

Neural Architecture Search using Bayesian Optimisation with Weisfeiler-Lehman Kernel.

[BibT_eX]

[DOI]

CoRR, 2020

Learning Quadratic Games on Networks.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

On The Stability of Polynomial Spectral Graph Filters.

[BibT_eX]

[DOI]

Dorina Thanou

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Mobility Networks for Predicting Gentrification.

[BibT_eX]

[DOI]

Oliver Gardiner

Proceedings of the Complex Networks & Their Applications IX, 2020

Laplacian-Regularized Graph Bandits: Algorithms and Theoretical Analysis.

[BibT_eX]

[DOI]

Kaige Yang

Laura Toni

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Learning Graphs From Data: A Signal Representation Perspective.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2019

MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning.

[BibT_eX]

[DOI]

Entropy, 2019

A Maximum Entropy approach to Massive Graph Spectra.

[BibT_eX]

[DOI]

CoRR, 2019

Segregated interactions in urban and online spaces.

[BibT_eX]

[DOI]

CoRR, 2019

Error Analysis on Graph Laplacian Regularized Estimator.

[BibT_eX]

[DOI]

Kaige Yang

Yves-Alexandre de Montjoye

Laura Toni

CoRR, 2019

Introduction to the Data for Refugees Challenge on Mobility of Syrian Refugees in Turkey.

[BibT_eX]

[DOI]

Özge Dagdelen

Patrick Vinck

Proceedings of the Guide to Mobile Data Analytics in Refugee Scenarios, 2019

2018

Social Bridges in Urban Purchase Behavior.

[BibT_eX]

[DOI]

Alex 'Sandy' Pentland

ACM Trans. Intell. Syst. Technol., 2018

Behavioral attributes and financial churn prediction.

[BibT_eX]

[DOI]

Alex 'Sandy' Pentland

EPJ Data Sci., 2018

Methods for quantifying effects of social unrest using credit card transaction data.

[BibT_eX]

[DOI]

EPJ Data Sci., 2018

Learning Quadratic Games on Networks.

[BibT_eX]

[DOI]

Yan Leng

Yves-Alexandre de Montjoye

Alex Pentland

CoRR, 2018

Data for Refugees: The D4R Challenge on Mobility of Syrian Refugees in Turkey.

[BibT_eX]

[DOI]

Özge Dagdelen

CoRR, 2018

Entropic Spectral Learning in Large Scale Networks.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Learning Heat Diffusion Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Signal Inf. Process. over Networks, 2017

2016

Learning Laplacian Matrix in Smooth Graph Signal Representations.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

Multi-modal Image Retrieval with Random Walk on Multi-layer Graphs.

[BibT_eX]

[DOI]

Renata Khasanova

Pascal Frossard

Proceedings of the IEEE International Symposium on Multimedia, 2016

2015

Multiscale event detection in social media.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2015

Laplacian matrix learning for smooth graph signal representation.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

Clustering on Multi-Layer Graphs via Subspace Analysis on Grassmann Manifolds.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2014

Learning Graphs from Signal Observations under Smoothness Prior.

[BibT_eX]

[DOI]

CoRR, 2014

2013

SaferCity: A System for Detecting and Analyzing Incidents from Social Media.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Inference of mobility patterns via Spectral Graph Wavelets.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Clustering With Multi-Layer Graphs: A Spectral Perspective.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2012

Structural analysis of network traffic matrix via relaxed principal component pursuit.

[BibT_eX]

[DOI]

Comput. Networks, 2012

Learning of structured graph dictionaries.

[BibT_eX]

[DOI]

Xuan Zhang