Xavier Bresson

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

Achievements

+13 more ↓

🏃 Academic Marathon (13) 🌍 Conference Polyglot (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (12)

🌈 Renaissance Researcher (8) 🐝 Cross-Pollinator (12) 🌍 Conference Polyglot (7) 🌟 Keyword Trendsetter Combo (4) 📛 The Namer 🌱 Topic Pioneer 🤝 Dynamic Duo (12) 👑 Triple Crown 🏆 Keyword Champion 🏆 Grand Slam 📈 Trend Setter 🗃️ Keyword Collector (80) 💎 Century Club (18)

Conferences

NIPS (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)

Keywords

graph neural network (6) clustering algorithm (3) graph representation (2) matrix completion (2) cheeger cut (2) dimensionality reduction (2) spectral clustering (2) graph cut (2) unsupervised clustering (2) graph clustering (1) question answering (1) graph representation learning (1) geometric deep learning (1) matrix factorization (1) graph classification (1) dense correspondence (1) graph theory (1) graph-based clustering (1) message passing (1) consistency analysis (1)

Papers

Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classifications AAAI 2025 A General Graph Spectral Wavelet Convolution via Chebyshev Order Decomposition ICML 2025 Feature Collapse ICLR 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 G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering NIPS 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 NIPS 2017 Consistency of Cheeger and Ratio Graph Cuts JMLR 2016 The Product Cut NIPS 2016 Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering NIPS 2016 Robust Principal Component Analysis on Graphs ICCV 2015 Functional Correspondence by Matrix Completion CVPR 2015 Multiclass Total Variation Clustering NIPS 2013 Convergence and Energy Landscape for Cheeger Cut Clustering NIPS 2012