Michael M. Bronstein
5 papers in the PaperMetrix corpus
Papers by this author
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Dynamic Graph CNN for Learning on Point Clouds
2019 · ACM Transactions on Graphics
Point clouds provide a flexible geometric representation suitable for countless applications in computer graphics; they also comprise the raw output of most 3D data acquisition devices. While hand-designed features on point clouds have long been …
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Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks
2021 · arXiv (Cornell University)
The pairwise interaction paradigm of graph machine learning has predominantly governed the modelling of relational systems. However, graphs alone cannot capture the multi-level interactions present in many complex systems and the expressive power of such …
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Graph Neural Networks for Link Prediction with Subgraph Sketching
2022 · arXiv (Cornell University)
Many Graph Neural Networks (GNNs) perform poorly compared to simple heuristics on Link Prediction (LP) tasks. This is due to limitations in expressive power such as the inability to count triangles (the backbone of most …
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GraphText: Graph Reasoning in Text Space
2023 · arXiv (Cornell University)
Large Language Models (LLMs) have gained the ability to assimilate human knowledge and facilitate natural language interactions with both humans and other LLMs. However, despite their impressive achievements, LLMs have not made significant advancements in …
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Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks
2017 · Neural Information Processing Systems
Matrix completion models are among the most common formulations of recommender systems. Recent works have showed a boost of performance of these techniques when introducing the pairwise relationships between users/items in the form of graphs, …