22 citations · 42 across the 8 of their papers we have counts for
4 papers · 1 filter
Evaluating Large Language Models on Graphs: Performance Insights and Comparative Analysis
Chang Liu, Bo Wu
Large Language Models (LLMs) have garnered considerable interest within both academic and industrial. Yet, the application of LLMs to graph data remains under-explored. In this stu…
Data Cross-Segmentation for Improved Generalization in Reinforcement Learning Based Algorithmic Trading
Vikram Duvvur, Aashay Mehta, Edward Sun +3
The use of machine learning in algorithmic trading systems is increasingly common. In a typical set-up, supervised learning is used to predict the future prices of assets, and thos…
BatchGNN: Efficient CPU-Based Distributed GNN Training on Very Large Graphs
Loc Hoang, Rita Brugarolas Brufau, Ke Ding +1
We present BatchGNN, a distributed CPU system that showcases techniques that can be used to efficiently train GNNs on terabyte-sized graphs. It reduces communication overhead with…
Learning Situation Hyper-Graphs for Video Question Answering
Aisha Urooj Khan, Hilde Kuehne, Bo Wu +5
Answering questions about complex situations in videos requires not only capturing the presence of actors, objects, and their relations but also the evolution of these relationship…