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James Cheng

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 15, 2026, 3:13 AM AMS

9

papers

345

total citations

papers (9)

Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs

NEURIPS 2022arXiv

Does Invariant Graph Learning via Environment Augmentation Learn Invariance?

NEURIPS 2023arXiv

Understanding and Improving Feature Learning for Out-of-Distribution Generalization

NEURIPS 2023arXiv

How Interpretable Are Interpretable Graph Neural Networks?

Hierarchical Graph Tokenization for Molecule-Language Alignment

Enhancing Evolving Domain Generalization through Dynamic Latent Representations

BrainOOD: Out-of-distribution Generalizable Brain Network Analysis

Boosting First-Order Methods by Shifting Objective: New Schemes with Faster Worst-Case Rates

NEURIPS 2020arXiv

Exact Shape Correspondence via 2D graph convolution