Xavier Bresson

18 papers · 2012–2025 · 7 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🗺️ Taxonomy Completionist (33) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird

🌱 Topic Pioneer 📛 The Namer 👑 Triple Crown 🧭 Keyword Pioneer 🤝 Dynamic Duo (12) 🏆 Keyword Champion 🏆 Grand Slam 🌟 Keyword Trendsetter Combo (4) 🌈 Renaissance Researcher (7) 💎 Century Club · Bronze 📈 Trend Setter 🗃️ Keyword Collector (106)

Venues

NeurIPS (6) ICLR (4) ICML (3) JMLR (2) AAAI (1) CVPR (1) ICCV (1)

Top co-authors

Thomas Laurent (12) James von Brecht (5) Xiaoxin He (4) Bryan Hooi (3) Pierre Vandergheynst (3) Yann LeCun (3) Michael M. Bronstein (2) Vijay Prakash Dwivedi (2) Anh Tuan Luu (2) Michael Bronstein (2)

Research topics

Machine Learning (15) Core Methods (14) Deep Learning (11) Architectures (10) Mathematics & Optimization (5) Optimization (5) Optimization & Theory (4) Computer Science (3) Data Science & Analytics (3) Applications (3) Foundations (3) Artificial Intelligence (2) Application Areas (2) Core AI (2) Learning Types (2)

Keywords

graph neural network (8) clustering algorithm (3) representation learning (3) graph representation (2) dimensionality reduction (2) spectral clustering (2) graph convolution (2) graph cut (2) unsupervised clustering (2) large language model (2) matrix completion (2) cheeger cut (2) positional encoding (2) graph representation learning (1) curriculum learning (1) graph classification (1) graph theory (1) feature learning (1) consistency analysis (1) feature representation (1)

Papers

A General Graph Spectral Wavelet Convolution via Chebyshev Order Decomposition ICML 2025 Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classifications AAAI 2025 Feature Collapse ICLR 2024 G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering NeurIPS 2024 Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning ICLR 2024 Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching ICML 2024 A Generalization of ViT/MLP-Mixer to Graphs ICML 2023 Benchmarking Graph Neural Networks JMLR 2023 Long-Tailed Learning Requires Feature Learning ICLR 2023 Graph Neural Networks with Learnable Structural and Positional Representations ICLR 2022 Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks NeurIPS 2017 Consistency of Cheeger and Ratio Graph Cuts JMLR 2016 Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering NeurIPS 2016 The Product Cut NeurIPS 2016 Functional Correspondence by Matrix Completion CVPR 2015 Robust Principal Component Analysis on Graphs ICCV 2015 Multiclass Total Variation Clustering NeurIPS 2013 Convergence and Energy Landscape for Cheeger Cut Clustering NeurIPS 2012