PaperHub

Michael M. Bronstein

~Michael_M._Bronstein1

48
论文总数
24.0
年均投稿
6.1
平均评分
接收情况33/48
会议分布
ICLR
27
NeurIPS
14
ICML
6
COLM
1

发表论文 (48 篇)

202532

5.6
5

Understanding Virtual Nodes: Oversquashing and Node Heterogeneity

ICLR 2025Poster
6.8
5

Homomorphism Counts as Structural Encodings for Graph Learning

ICLR 2025Poster
6.8
4

Gradient Variance Reveals Failure Modes in Flow-Based Generative Models

NeurIPS 2025Spotlight
4.0
3

How Expressive are Knowledge Graph Foundation Models?

ICML 2025Poster
7.3
4

Equivariance Everywhere All At Once: A Recipe for Graph Foundation Models

NeurIPS 2025Poster
7.3
4

Over-squashing in Spatiotemporal Graph Neural Networks

NeurIPS 2025Poster
6.5
4

Link Prediction with Relational Hypergraphs

ICLR 2025Rejected
5.8
4

Balancing Efficiency and Expressiveness: Subgraph GNNs with Walk-Based Centrality

ICLR 2025Rejected
5.3
4

Learning Symmetries through Loss Landscape

ICLR 2025Rejected
6.6
4

Balancing Efficiency and Expressiveness: Subgraph GNNs with Walk-Based Centrality

ICML 2025Poster
4.5
4

Scalable Message Passing Neural Networks: No Need for Attention in Large Graph Representation Learning

ICLR 2025Rejected
5.5
3

Supercharging Graph Transformers with Advective Diffusion

ICML 2025Poster
7.3
3

Bundle Neural Network for message diffusion on graphs

ICLR 2025Spotlight
3.5
4

Towards Generalization under Topological Shifts: A Diffusion PDE Perspective

ICLR 2025withdrawn
7.0
3

On Measuring Long-Range Interactions in Graph Neural Networks

ICML 2025Poster
4.6
5

Laplace-Transform-Filters render spectral Graph Neural Networks transferable

ICLR 2025Rejected
7.0
4

Fully-inductive Node Classification on Arbitrary Graphs

ICLR 2025Poster
4.5
4

Wavelet-based Graph Convolution via Chebyshev Decomposition

ICLR 2025withdrawn
6.7
3

Multi-domain Distribution Learning for De Novo Drug Design

ICLR 2025Poster
4.4
4

A General Graph Spectral Wavelet Convolution via Chebyshev Order Decomposition

ICML 2025Poster
6.6
4

Scalable Equilibrium Sampling with Sequential Boltzmann Generators

ICML 2025Poster
8.0
3

Topological Blindspots: Understanding and Extending Topological Deep Learning Through the Lens of Expressivity

ICLR 2025Oral
6.8
5

Neural Spacetimes for DAG Representation Learning

ICLR 2025Poster
7.3
4

Curly Flow Matching for Learning Non-gradient Field Dynamics

NeurIPS 2025Poster
6.8
4

Amortized Sampling with Transferable Normalizing Flows

NeurIPS 2025Poster
7.0
3

GradMetaNet: An Equivariant Architecture for Learning on Gradients

NeurIPS 2025Poster
7.8
4

Progressive Inference-Time Annealing of Diffusion Models for Sampling from Boltzmann Densities

NeurIPS 2025Spotlight
6.8
4

Why do LLMs attend to the first token?

COLM 2025Poster
7.3
4

On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning

NeurIPS 2025Poster
6.3
4

Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction

ICLR 2025Poster
4.0
5

DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models

ICLR 2025Rejected
7.8
4

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights

NeurIPS 2025Poster

202416