← Authors

Michael M. Bronstein

39 papers · 2015–2025 · 4 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (4) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (4) πŸƒ Academic Marathon (10) 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (32) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🧬 Topic Evolution πŸ‘‘ Triple Crown πŸ† Keyword Champion (2) πŸ‘₯ Mega-Team (22) πŸ”₯ Unstoppable (7) ⚑ Prolific Year (9) πŸ“ˆ Trend Setter πŸ’Ž Century Club (39) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (70)

Conferences

ICLR (17) ICML (13) CVPR (8) NIPS (1)

Top co-authors

Fabrizio Frasca (6) Francesco Di Giovanni (6) Δ°smail Δ°lkan Ceylan (5) Xiaowen Dong (5) Haggai Maron (4) Emanuele RodolΓ  (4) Benjamin Paul Chamberlain (4) Alexander Tong (3) Federico Barbero (3) Mikhail Galkin (3)

Keywords

shape matching (3) graph neural network (3) geometric deep learning (3) point cloud (2) graph rewiring (2) shape reconstruction (2) non-rigid deformation (2) shape correspondence (1) style transfer (1) feature learning (1) hand pose estimation (1) weak supervision (1) topological data analysis (1) neural network optimization (1) 3d vision (1) graph classification (1) dense correspondence (1) message passing (1) gradient-based method (1) global optimization (1)

Papers

Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks ICML 2025
Homomorphism Counts as Structural Encodings for Graph Learning ICLR 2025
Multi-domain Distribution Learning for De Novo Drug Design ICLR 2025
Neural Spacetimes for DAG Representation Learning ICLR 2025
Understanding Virtual Nodes: Oversquashing and Node Heterogeneity ICLR 2025
Bundle Neural Network for message diffusion on graphs ICLR 2025
Fully-inductive Node Classification on Arbitrary Graphs ICLR 2025
Topological Blindspots: Understanding and Extending Topological Deep Learning Through the Lens of Expressivity ICLR 2025
Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction ICLR 2025
On Measuring Long-Range Interactions in Graph Neural Networks ICML 2025
How Expressive are Knowledge Graph Foundation Models? ICML 2025
A General Graph Spectral Wavelet Convolution via Chebyshev Order Decomposition ICML 2025
Balancing Efficiency and Expressiveness: Subgraph GNNs with Walk-Based Centrality ICML 2025
Scalable Equilibrium Sampling with Sequential Boltzmann Generators ICML 2025
Supercharging Graph Transformers with Advective Diffusion ICML 2025
From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module ICLR 2024
SE(3)-Stochastic Flow Matching for Protein Backbone Generation ICLR 2024
RetroBridge: Modeling Retrosynthesis with Markov Bridges ICLR 2024
On the Limitations of Fractal Dimension as a Measure of Generalization NIPS 2024
Cooperative Graph Neural Networks ICML 2024
Homomorphism Counts for Graph Neural Networks: All About That Basis ICML 2024
Position: Future Directions in the Theory of Graph Machine Learning ICML 2024
Position: Topological Deep Learning is the New Frontier for Relational Learning ICML 2024
Locality-Aware Graph Rewiring in GNNs ICLR 2024
Hyperbolic Deep Reinforcement Learning ICLR 2023
On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology ICML 2023
DRew: Dynamically Rewired Message Passing with Delay ICML 2023
Gradient Gating for Deep Multi-Rate Learning on Graphs ICLR 2023
Graph Neural Networks for Link Prediction with Subgraph Sketching ICLR 2023
Equivariant Subgraph Aggregation Networks ICLR 2022
Understanding over-squashing and bottlenecks on graphs via curvature ICLR 2022
Fast End-to-End Learning on Protein Surfaces CVPR 2021
Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild CVPR 2020
Geometrically Principled Connections in Graph Neural Networks CVPR 2020
GFrames: Gradient-Based Local Reference Frame for 3D Shape Matching CVPR 2019
Isospectralization, or How to Hear Shape, Style, and Correspondence CVPR 2019
Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs CVPR 2017
Efficient Globally Optimal 2D-To-3D Deformable Shape Matching CVPR 2016
Functional Correspondence by Matrix Completion CVPR 2015