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Yongqiang Chen

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, 3:11 AM AMS

10

papers

359

total citations

papers (10)

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

Empowering Graph Invariance Learning with Deep Spurious Infomax

How Interpretable Are Interpretable Graph Neural Networks?

Enhancing Evolving Domain Generalization through Dynamic Latent Representations

Hierarchical Graph Tokenization for Molecule-Language Alignment

BrainOOD: Out-of-distribution Generalizable Brain Network Analysis

Exact Shape Correspondence via 2D graph convolution

Eliciting Causal Abilities in Large Language Models for Reasoning Tasks