TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning

1 code implementation • 21 Jun 2024 • Nemin Wu, Qian Cao, Zhangyu Wang, Zeping Liu, Yanlin Qi, Jielu Zhang, Joshua Ni, Xiaobai Yao, Hongxu Ma, Lan Mu, Stefano Ermon, Tanuja Ganu, Akshay Nambi, Ni Lao, Gengchen Mai

To fill this gap, we propose TorchSpatial, a learning framework and benchmark for location (point) encoding, which is one of the most fundamental data types of spatial representation learning.

Fairness Geographic Question Answering +4

RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation

1 code implementation • 26 Dec 2023 • Sichun Luo, Bowei He, Haohan Zhao, Wei Shao, Yanlin Qi, Yinya Huang, Aojun Zhou, Yuxuan Yao, Zongpeng Li, Yuanzhang Xiao, Mingjie Zhan, Linqi Song

Large Language Models (LLMs) have demonstrated remarkable capabilities and have been extensively deployed across various domains, including recommender systems.

In-Context Learning Language Modeling +4

Enabling CMF Estimation in Data-Constrained Scenarios: A Semantic-Encoding Knowledge Mining Model

no code implementations • 15 Nov 2023 • Yanlin Qi, Jia Li, Michael Zhang

This new data-driven framework provides a cost-effective and adaptable solution that complements the case-specific approaches for CMF estimation, which is particularly beneficial when availability of crash data or time imposes constraints.

EVKG: An Interlinked and Interoperable Electric Vehicle Knowledge Graph for Smart Transportation System

1 code implementation • 10 Apr 2023 • Yanlin Qi, Gengchen Mai, Rui Zhu, Michael Zhang

Over the past decade, the electric vehicle industry has experienced unprecedented growth and diversification, resulting in a complex ecosystem.

Decision Making Knowledge Graphs