Tong Zhao

Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training

2022 · Findings of the Association for Computational Linguistics: NAACL 2022

Keyphrase generation is the task of automatically predicting keyphrases given a piece of long text. Despite its recent flourishing, keyphrase generation on non-English languages haven't been vastly investigated. In this paper, we call attention to …

Towards Neural Scaling Laws on Graphs

2024 · arXiv (Cornell University)

Deep graph models (e.g., graph neural networks and graph transformers) have become important techniques for leveraging knowledge across various types of graphs. Yet, the neural scaling laws on graphs, i.e., how the performance of deep …

How Does Message Passing Improve Collaborative Filtering?

2024 · arXiv (Cornell University)

Collaborative filtering (CF) has exhibited prominent results for recommender systems and been broadly utilized for real-world applications. A branch of research enhances CF methods by message passing used in graph neural networks, due to its …

A Short-Term Photovoltaic Power Forecasting Method Based on Meteorological Data Using GRF-LSTM-XGBoost Model

2025

This paper proposes a short-term photovoltaic power forecasting method based on a Genetic Algorithm-Random Forest (GRF)-LSTM-XGBoost hybrid model, aimed at improving accuracy by addressing the limitations of traditional models in feature selection and time series …

Mosaic of Modalities: A Comprehensive Benchmark for Multimodal Graph Learning

2025

Graph machine learning has made significant strides in recent years, yet the integration of visual information with graph structure and its potential for improving performance in downstream tasks remains an underexplored area. To address this …