20 citations · 69 across the 15 of their papers we have counts for
4 papers · 1 filter
Towards Training and Inference of Graph Neural Networks in Graph Databases
Victor Pekkari, Harry Wik, Alfred Clemedtson +2
Graph Neural Networks on large graphs commonly rely on in-memory graph storage with ad hoc data processing pipelines for both training and inference. Graph databases provide scalab…
Multimodal Graph Learning for Modeling Emerging Pandemics with Big Data
Khanh-Tung Tran, Truong Son Hy, Lili Jiang +1
Accurate forecasting and analysis of emerging pandemics play a crucial role in effective public health management and decision-making. Traditional approaches primarily rely on epid…
ReINTEL: A Multimodal Data Challenge for Responsible Information Identification on Social Network Sites
Duc-Trong Le, Xuan-Son Vu, Nhu-Dung To +8
This paper reports on the ReINTEL Shared Task for Responsible Information Identification on social network sites, which is hosted at the seventh annual workshop on Vietnamese Langu…
Reinforced Data Sampling for Model Diversification
Hoang D. Nguyen, Xuan-Son Vu, Quoc-Tuan Truong +1
With the rising number of machine learning competitions, the world has witnessed an exciting race for the best algorithms. However, the involved data selection process may fundamen…