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发表论文5 篇

平均评分5.3

年均产出2.5 篇/年

Jay Revolinsky

PhD student@Michigan State University·美国·OpenReview

研究方向

Diffusion Models · Graph Neural Networks · Graph Generative Models

Subgraph Generation for Generalizing on Out-of-Distribution Links

ICLR 2026Rejected

Understanding Graph Self-Supervised Pre-training under Distribution Shifts: A Scaling Law Perspective

ICLR 2026Rejected

Towards Better Benchmark Datasets for Inductive Knowledge Graph Completion

ICLR 2025Rejected

From Sequence to Structure: Uncovering Substructure Reasoning in Transformers

NeurIPS 2025Poster

Towards Understanding Link Predictor Generalizability Under Distribution Shifts

ICLR 2025Rejected

合作者 (13)

博士导师5 篇