Search Results for author: Yihong Ma

Found 6 papers, 4 papers with code

HetGPT: Harnessing the Power of Prompt Tuning in Pre-Trained Heterogeneous Graph Neural Networks

no code implementations23 Oct 2023 Yihong Ma, Ning Yan, Jiayu Li, Masood Mortazavi, Nitesh V. Chawla

The surge in prompt-based learning within Natural Language Processing (NLP) suggests the potential of adapting a "pre-train, prompt" paradigm to graphs as an alternative.

Node Classification

Class-Imbalanced Learning on Graphs: A Survey

1 code implementation9 Apr 2023 Yihong Ma, Yijun Tian, Nuno Moniz, Nitesh V. Chawla

Concerning the latter, we critically analyze recent work in CILG and discuss urgent lines of inquiry within the topic.

Graph Representation Learning

RESAM: Requirements Elicitation and Specification for Deep-Learning Anomaly Models with Applications to UAV Flight Controllers

no code implementations18 Jul 2022 Md Nafee Al Islam, Yihong Ma, Pedro Alarcon Granadeno, Nitesh Chawla, Jane Cleland-Huang

While formal product documentation often provides example data plots with diagnostic suggestions, the sheer diversity of attributes, critical thresholds, and data interactions can be overwhelming to non-experts who subsequently seek help from discussion forums to interpret their data logs.

Anomaly Detection Time Series +1

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