activity
20192026
most citedGraph-Partitioning-Based Diffusion Convolutional Recurrent Neural Network for Large-Scale Traffic Forecasting

93 citations · 128 across the 15 of their papers we have counts for

collaborators
Showing 2023Show all

2 papers · 1 filter

cs.LG2023

A Comparative Study of Loss Functions: Traffic Predictions in Regular and Congestion Scenarios

Yangxinyu Xie, Tanwi Mallick

Spatiotemporal graph neural networks have achieved state-of-the-art performance in traffic forecasting. However, they often struggle to forecast congestion accurately due to the li…

cs.LG2023

Analyzing the impact of climate change on critical infrastructure from the scientific literature: A weakly supervised NLP approach

Tanwi Mallick, Joshua David Bergerson, Duane R. Verner +3

Natural language processing (NLP) is a promising approach for analyzing large volumes of climate-change and infrastructure-related scientific literature. However, best-in-practice…