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Dong, Xiaowen

  1. Understanding over-squashing and bottlenecks on graphs via curvature
    2021/11/29 by Jake Topping, Francesco Di Giovanni, Topping, Jake +7 · 65 citations
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topological and Geometric Data Analysis
  2. Segregated interactions in urban and online space
    2019/11/11 by Xiaowen Dong, Dong, Xiaowen, Alfredo Morales +18 · 1 voice · 1 citation
    Economics, Econometrics and Finance · Social Sciences · #Housing Market and Economics #School Choice and Performance #Urban, Neighborhood, and Segregation Studies #cs.SI #physics.soc-ph
  3. A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges
    2024/06/15 by Yuqi Nie, Yaxuan Kong, Nie, Yuqi +11 · 21 citations
    Decision Sciences · #Stock Market Forecasting Methods
  4. On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features
    2021/11/23 by Emanuele Rossi, Rossi, Emanuele, Henry Kenlay +9 · 8 citations
    Computer Science · #Advanced Graph Neural Networks #Topic Modeling #Recommender Systems and Techniques
  5. Beltrami Flow and Neural Diffusion on Graphs
    2021/10/18 by Chamberlain, Benjamin Paul, Rowbottom, James, Eynard, Davide +3 · 6 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  6. DRew: Dynamically Rewired Message Passing with Delay
    2023/05/13 by Benjamin Gutteridge, Xiaowen Dong, Gutteridge, Benjamin +5 · 8 citations
    Engineering · Neuroscience · #Advanced Memory and Neural Computing #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neuroscience and Neural Engineering
  7. Learning heat diffusion graphs
    2016/11/04 by Thanou, Dorina, Dong, Xiaowen, Kressner, Daniel +1 · 4 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Social and Information Networks (cs.SI)
  8. Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review
    2024/12/02 by Rui Ye, Xianghe Pang, Ye, Rui +15 · 10 citations
    Decision Sciences · Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #scientometrics and bibliometrics research
  9. Rough Transformers: Lightweight and Continuous Time Series Modelling through Signature Patching
    2024/05/31 by Fernando Moreno-Pino, Moreno-Pino, Fernando, Álvaro Arroyo +7 · 6 citations
    Computer Science · #Advanced Database Systems and Queries #Algorithms and Data Compression #Data Management and Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  10. Bayesian Optimisation of Functions on Graphs
    2023/06/08 by Wan, Xingchen, Osselin, Pierre, Kenlay, Henry +3 · 4 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  11. On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning
    2025/02/15 by Álvaro Arroyo, Alessio Gravina, Arroyo, Álvaro +13 · 11 citations
    Computer Science · Neuroscience · #Advanced Graph Neural Networks #Brain Tumor Detection and Classification #Machine Learning and ELM
  12. Interpretable Stability Bounds for Spectral Graph Filters
    2021/02/18 by Henry Kenlay, Kenlay, Henry, Dorina Thanou +3 · 3 citations
    Computer Science · #Advanced Graph Neural Networks #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
  13. Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation
    2024/10/18 by Tang, Shuo, Pang, Xianghe, Liu, Zexi +6 · 6 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  14. On the Stability of Graph Convolutional Neural Networks under Edge Rewiring
    2020/10/26 by Kenlay, Henry, Thanou, Dorina, Dong, Xiaowen · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  15. Bundle Neural Networks for message diffusion on graphs
    2024/05/24 by Jacob Bamberger, Federico Barbero, Bamberger, Jacob +5 · 4 citations
    Computer Science · Physics and Astronomy · #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Opinion Dynamics and Social Influence
  16. Modeling Ideological Salience and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity
    2021/04/18 by Hofmann, Valentin, Dong, Xiaowen, Pierrehumbert, Janet B. +1 · 2 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Social and Information Networks (cs.SI)
  17. Gaussian Processes on Graphs via Spectral Kernel Learning
    2020/06/12 by Zhi, Yin-Cong, Ng, Yin Cheng, Dong, Xiaowen · 2 citations
    #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Signal Processing (eess.SP) #electronic engineering #information engineering
  18. Hypergraph Transformer for Semi-Supervised Classification
    2023/12/18 by Zexi Liu, Bohan Tang, Liu, Zexi +9 · 2 citations
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Online Learning and Analytics
  19. Laplacian-regularized graph bandits: Algorithms and theoretical analysis
    2019/07/12 by Yang, Kaige, Dong, Xiaowen, Toni, Laura · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  20. Training-Free Message Passing for Learning on Hypergraphs
    2024/02/08 by Tang, Bohan, Liu, Zexi, Jiang, Keyue +2 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Signal Processing (eess.SP) #electronic engineering #information engineering
  21. Towards Quantifying Long-Range Interactions in Graph Machine Learning: a Large Graph Dataset and a Measurement
    2025/03/12 by Huidong Liang, Haitz Sáez de Ocáriz Borde, Liang, Huidong +8 · 1 voice · 3 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Advanced Graph Neural Networks #Bioinformatics and Genomic Networks #Graph Theory and Algorithms #cs.AI #cs.LG
  22. A Characterization Theorem for Equivariant Networks with Point-wise Activations
    2024/01/17 by Marco Pacini, Xiaowen Dong, Pacini, Marco +5 · 2 citations
    Computer Science · #Neural Networks and Applications #Advanced Graph Neural Networks #Computational Drug Discovery Methods
  23. Adversarial Attacks on Graph Classification via Bayesian Optimisation
    2021/11/04 by Wan, Xingchen, Kenlay, Henry, Ru, Binxin +3 · 1 citation
    #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  24. GNNs as Predictors of Agentic Workflow Performances
    2025/03/14 by Zhang, Yuanshuo, Hou, Yuchen, Tang, Bohan +4 · 4 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multiagent Systems (cs.MA)
  25. Adaptive Gaussian Processes on Graphs via Spectral Graph Wavelets
    2021/10/25 by Opolka, Felix L., Zhi, Yin-Cong, Liò, Pietro +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  26. Graph similarity learning for change-point detection in dynamic networks
    2022/03/29 by Sulem, Deborah, Kenlay, Henry, Cucuringu, Mihai +1 · 1 citation
    #Applications (stat.AP) #FOS: Computer and information sciences #FOS: Economics and business #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistical Finance (q-fin.ST)
  27. Understanding stock market instability via graph auto-encoders
    2022/12/09 by Dragos Gorduza, Gorduza, Dragos, Xiaowen Dong +3 · 1 citation
    Decision Sciences · Economics, Econometrics and Finance · #Complex Systems and Time Series Analysis #Computational Engineering #Computational Finance (q-fin.CP) #FOS: Computer and information sciences #FOS: Economics and business #Finance #Financial Markets and Investment Strategies #Stock Market Forecasting Methods #and Science (cs.CE)
  28. On the Impact of Sample Size in Reconstructing Graph Signals
    2023/07/01 by Sripathmanathan, Baskaran, Dong, Xiaowen, Bronstein, Michael · 1 citation
    #FOS: Computer and information sciences #FOS: Electrical engineering #Signal Processing (eess.SP) #Social and Information Networks (cs.SI) #electronic engineering #information engineering
  29. Structure-Aware Robustness Certificates for Graph Classification
    2023/06/20 by Pierre Osselin, Osselin, Pierre, Henry Kenlay +3 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Social and Information Networks (cs.SI)
  30. Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization
    2023/09/09 by Haitz Sáez de Ocáriz Borde, Borde, Haitz Saez de Ocariz, Álvaro Arroyo +7 · 1 citation
    Computer Science · Materials Science · #Human Pose and Action Recognition #Machine Learning and Data Classification #Machine Learning in Materials Science
  31. Graph Neural Networks for Forecasting Multivariate Realized Volatility with Spillover Effects
    2023/08/01 by Zhang, Chao, Pu, Xingyue, Cucuringu, Mihai +1 · 1 citation
    #FOS: Computer and information sciences #FOS: Economics and business #Machine Learning (cs.LG) #Risk Management (q-fin.RM) #Statistical Finance (q-fin.ST)
  32. Return of ChebNet: Understanding and Improving an Overlooked GNN on Long Range Tasks
    2025/06/09 by Hariri, Ali, Arroyo, Álvaro, Gravina, Alessio +6 · 4 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  33. Rough Transformers for Continuous and Efficient Time-Series Modelling
    2024/03/15 by Fernando Moreno-Pino, Moreno-Pino, Fernando, Álvaro Arroyo +7 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
  34. On Measuring Long-Range Interactions in Graph Neural Networks
    2025/06/06 by Jacob Bamberger, Bamberger, Jacob, Benjamin Gutteridge +6 · 3 citations
    Computer Science · #Advanced Graph Neural Networks #Graph Theory and Algorithms #Machine Learning in Healthcare
  35. Bayesian Optimization of Functions over Node Subsets in Graphs
    2024/05/24 by Huidong Liang, Xingchen Wan, Liang, Huidong +3 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  36. Spectral Clustering for Directed Graphs via Likelihood Estimation on Stochastic Block Models
    2024/03/28 by Ning Zhang, Zhang, Ning, Xiaowen Dong +3 · 1 citation
    Computer Science · Physics and Astronomy · #Advanced Clustering Algorithms Research #Complex Network Analysis Techniques #Data Management and Algorithms #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Social and Information Networks (cs.SI) #Statistics Theory (math.ST)
  37. Bures-Wasserstein Flow Matching for Graph Generation
    2025/06/16 by Jiang, Keyue, Cui, Jiahao, Dong, Xiaowen +1 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  38. Neural Spacetimes for DAG Representation Learning
    2024/08/25 by Haitz Sáez de Ocáriz Borde, Borde, Haitz Sáez de Ocáriz, Anastasis Kratsios +7 · 1 citation
    Computer Science · #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Metric Geometry (math.MG) #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE)