Concepedia

James Caverlee

JC

Statistics

Publications

2

Citations

80

H-Index

2

Active since

2022

Affiliations

Texas A&M University(Current)

James Caverlee is an author at Texas A&M University specializing in graph representation learning, graph processing, and deep learning.

Top concepts

EngineeringData ScienceGraph TheoryDeep LearningComputer ScienceGraph ProcessingMachine LearningFew-shot LearningSemi-supervised LearningGraph Representation Learning

Publications per year

2022–2022

2

Publications

2

Meta Propagation Networks for Graph Few-shot Semi-supervised Learning

Kaize Ding, Jianling Wang, James Caverlee et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2022 · 44 citations · Full text

Few-shot Learning, Geometric Learning, Graph Neural Networks +12

Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems

Allen Lin, Jianling Wang, Ziwei Zhu et al. · Proceedings of the 31st ACM International Conference on Information & Knowledge Management · 2022 · 36 citations · Full text

1–2 of 2