Fuhai Li

4 papers · 2022–2024 · 3 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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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

Venues

NeurIPS (2) ICLR (1) ICML (1)

Top co-authors

Muhan Zhang (4) Yixin Chen (4) Jiarui Feng (2) Zehao Dong (2) Dacheng Tao (1) Michael A Province (1) Tianyu Zhao (1) Lecheng Kong (1) Anindya Sarkar (1) Hao Liu (1)

Research topics

Machine Learning (4) Core Methods (4) Deep Learning (3) Architectures (3) Optimization & Theory · Machine Learning (3) Artificial Intelligence (2) Core AI (2) Mathematics & Optimization (1) Optimization (1) Optimization & Theory · Deep Learning (1)

Keywords

graph neural network (3) message passing (3) weisfeiler-lehman test (2) graph isomorphism (2) expressive power (1) parallel computation (1) directed acyclic graph (1) model stability (1) k-hop neighborhood (1) regular graph (1) representation learning (1) graph canonization (1) embedding learning (1) attention mechanism (1) neural architecture search (1)

Papers

Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability ICLR 2024 Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman NeurIPS 2023 How Powerful are K-hop Message Passing Graph Neural Networks NeurIPS 2022 PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs ICML 2022