Yuankai Luo

7 papers · 2023–2025 · 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 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird ❓ The Questioner

Venues

NeurIPS (4) ICLR (2) ICML (1)

Top co-authors

Lei Shi (6) Xiao-ming Wu (5) Veronika Thost (2) Hongkang Li (2) Qijiong Liu (1) Hao Zhu (1)

Research topics

Deep Learning (7) Machine Learning (6) Architectures (6) Core Methods (6) Application Areas (2) Artificial Intelligence (1) Computer Science (1) Core AI (1) Foundations (1) Learning Types (1) Models (1) Techniques (1)

Keywords

node classification (4) graph neural network (3) positional encoding (2) graph transformer (2) self-supervised learning (1) attention mechanism (1) batch normalization (1) graph representation (1) message passing (1) vector quantization (1) hyperparameter tuning (1) persistent homology (1) structural regularization (1) dropout regularization (1) generalization bound (1) inductive bia (1) node embedding (1) property prediction (1) molecular representation (1) discrete representation (1)

Papers

Beyond Random Masking: When Dropout meets Graph Convolutional Networks ICLR 2025 Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence ICML 2025 Node Identifiers: Compact, Discrete Representations for Efficient Graph Learning ICLR 2025 Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification NeurIPS 2024 Enhancing Graph Transformers with Hierarchical Distance Structural Encoding NeurIPS 2024 Improving Self-supervised Molecular Representation Learning using Persistent Homology NeurIPS 2023 Transformers over Directed Acyclic Graphs NeurIPS 2023