Xiaowen Dong

Orcid: 0000-0002-1143-9786

Affiliations:
  • University of Oxford, UK
  • IBM Research, Dublin, Ireland (former)
  • Swiss Federal Institute of Technology, Lausanne, Switzerland (PhD 2014)


According to our database1, Xiaowen Dong authored at least 86 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Graph similarity learning for change-point detection in dynamic networks.
Mach. Learn., January, 2024

Long-Range Social Influence in Phone Communication Networks on Offline Adoption Decisions.
Inf. Syst. Res., 2024

Neural Spacetimes for DAG Representation Learning.
CoRR, 2024

On the Impact of Sample Size in Reconstructing Noisy Graph Signals: A Theoretical Characterisation.
CoRR, 2024

A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges.
CoRR, 2024

Separation Power of Equivariant Neural Networks.
CoRR, 2024

Rough Transformers: Lightweight Continuous-Time Sequence Modelling with Path Signatures.
CoRR, 2024

Bundle Neural Networks for message diffusion on graphs.
CoRR, 2024

Bayesian Optimization of Functions over Node Subsets in Graphs.
CoRR, 2024

Maximum Likelihood Estimation on Stochastic Blockmodels for Directed Graph Clustering.
CoRR, 2024

STEntConv: Predicting Disagreement with Stance Detection and a Signed Graph Convolutional Network.
CoRR, 2024

Rough Transformers for Continuous and Efficient Time-Series Modelling.
CoRR, 2024

Decentralized and Lifelong-Adaptive Multi-Agent Collaborative Learning.
CoRR, 2024

Hypergraph Node Classification With Graph Neural Networks.
CoRR, 2024

A Characterization Theorem for Equivariant Networks with Point-wise Activations.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Hypergraph-Mlp: Learning on Hypergraphs Without Message Passing.
Proceedings of the IEEE International Conference on Acoustics, 2024

Hypergraph Transformer for Semi-Supervised Classification.
Proceedings of the IEEE International Conference on Acoustics, 2024

Extracting Alpha from Financial Analyst Networks.
Proceedings of the 5th ACM International Conference on AI in Finance, 2024

STEntConv: Predicting Disagreement between Reddit Users with Stance Detection and a Signed Graph Convolutional Network.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
Local2Global: a distributed approach for scaling representation learning on graphs.
Mach. Learn., May, 2023

Gaussian Processes on Graphs Via Spectral Kernel Learning.
IEEE Trans. Signal Inf. Process. over Networks, 2023

Gromov-Hausdorff Distances for Comparing Product Manifolds of Model Spaces.
CoRR, 2023

Hypergraph Structure Inference From Data Under Smoothness Prior.
CoRR, 2023

Learning to Learn Financial Networks for Optimising Momentum Strategies.
CoRR, 2023

Network Momentum across Asset Classes.
CoRR, 2023

Graph Neural Networks for Forecasting Multivariate Realized Volatility with Spillover Effects.
CoRR, 2023

On the Impact of Sample Size in Reconstructing Graph Signals.
CoRR, 2023

Structure-aware robustness certificates for graph classification.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Graph classification Gaussian processes via spectral features.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Bayesian Optimisation of Functions on Graphs.
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.
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.
Proceedings of the International Conference on Machine Learning, 2023

Learning Hypergraphs From Signals With Dual Smoothness Prior.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Understanding stock market instability via graph auto-encoders.
CoRR, 2022

Transductive Kernels for Gaussian Processes on Graphs.
CoRR, 2022

Unrolled Graph Learning for Multi-Agent Collaboration.
CoRR, 2022

Maximum Entropy Approach to Massive Graph Spectrum Learning with Applications.
Algorithms, 2022

Modeling Ideological Salience and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity.
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.
Proceedings of the Learning on Graphs Conference, 2022

Learning to Infer Structures of Network Games.
Proceedings of the International Conference on Machine Learning, 2022

Understanding over-squashing and bottlenecks on graphs via curvature.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Adaptive Gaussian Processes on Graphs via Spectral Graph Wavelets.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Kernel-Based Graph Learning From Smooth Signals: A Functional Viewpoint.
IEEE Trans. Signal Inf. Process. over Networks, 2021

Correction to: Bayesian Topology Learning and noise removal from network data.
Discov. Internet Things, 2021

Bayesian Topology Learning and noise removal from network data.
Discov. Internet Things, 2021

Adversarial Attacks on Graph Classification via Bayesian Optimisation.
CoRR, 2021

Local2Global: Scaling global representation learning on graphs via local training.
CoRR, 2021

Adversarial Attacks on Graph Classifiers via Bayesian Optimisation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning to Learn Graph Topologies.
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.
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.
Proceedings of the 38th International Conference on Machine Learning, 2021

Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels.
Proceedings of the 9th International Conference on Learning Representations, 2021

On The Stability of Graph Convolutional Neural Networks Under Edge Rewiring.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Graph Signal Processing for Machine Learning: A Review and New Perspectives.
IEEE Signal Process. Mag., 2020

Segregated interactions in urban and online space.
EPJ Data Sci., 2020

Sentiment Diffusion in Financial News Networks and Associated Market Movements.
CoRR, 2020

Neural Architecture Search using Bayesian Optimisation with Weisfeiler-Lehman Kernel.
CoRR, 2020

Learning Quadratic Games on Networks.
Proceedings of the 37th International Conference on Machine Learning, 2020

On The Stability of Polynomial Spectral Graph Filters.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Mobility Networks for Predicting Gentrification.
Proceedings of the Complex Networks & Their Applications IX, 2020

Laplacian-Regularized Graph Bandits: Algorithms and Theoretical Analysis.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Learning Graphs From Data: A Signal Representation Perspective.
IEEE Signal Process. Mag., 2019

MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning.
Entropy, 2019

A Maximum Entropy approach to Massive Graph Spectra.
CoRR, 2019

Segregated interactions in urban and online spaces.
CoRR, 2019

Error Analysis on Graph Laplacian Regularized Estimator.
CoRR, 2019

Introduction to the Data for Refugees Challenge on Mobility of Syrian Refugees in Turkey.
Proceedings of the Guide to Mobile Data Analytics in Refugee Scenarios, 2019

2018
Social Bridges in Urban Purchase Behavior.
ACM Trans. Intell. Syst. Technol., 2018

Behavioral attributes and financial churn prediction.
EPJ Data Sci., 2018

Methods for quantifying effects of social unrest using credit card transaction data.
EPJ Data Sci., 2018

Learning Quadratic Games on Networks.
CoRR, 2018

Data for Refugees: The D4R Challenge on Mobility of Syrian Refugees in Turkey.
CoRR, 2018

Entropic Spectral Learning in Large Scale Networks.
CoRR, 2018

2017
Learning Heat Diffusion Graphs.
IEEE Trans. Signal Inf. Process. over Networks, 2017

2016
Learning Laplacian Matrix in Smooth Graph Signal Representations.
IEEE Trans. Signal Process., 2016

Multi-modal Image Retrieval with Random Walk on Multi-layer Graphs.
Proceedings of the IEEE International Symposium on Multimedia, 2016

2015
Multiscale event detection in social media.
Data Min. Knowl. Discov., 2015

Laplacian matrix learning for smooth graph signal representation.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
Clustering on Multi-Layer Graphs via Subspace Analysis on Grassmann Manifolds.
IEEE Trans. Signal Process., 2014

Learning Graphs from Signal Observations under Smoothness Prior.
CoRR, 2014

2013
SaferCity: A System for Detecting and Analyzing Incidents from Social Media.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Inference of mobility patterns via Spectral Graph Wavelets.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Clustering With Multi-Layer Graphs: A Spectral Perspective.
IEEE Trans. Signal Process., 2012

Structural analysis of network traffic matrix via relaxed principal component pursuit.
Comput. Networks, 2012

Learning of structured graph dictionaries.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
A regularization framework for mobile social network analysis.
Proceedings of the IEEE International Conference on Acoustics, 2011


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