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06/30/2023
Sphere2Vec: A General-Purpose Location Representation Learning over a Spherical Surface for Large-Scale Geospatial Predictions
Generating learning-friendly representations for points in space is a fu...
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06/20/2023
Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications
This paper explores new frontiers in agricultural natural language proce...
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05/01/2023
CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations
Geo-tagged images are publicly available in large quantities, whereas la...
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04/24/2023
Artificial General Intelligence (AGI) for Education
Artificial general intelligence (AGI) has gained global recognition as a...
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04/20/2023
Text2Seg: Remote Sensing Image Semantic Segmentation via Text-Guided Visual Foundation Models
Recent advancements in foundation models (FMs), such as GPT-4 and LLaMA,...
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04/13/2023
On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence
Large pre-trained models, also known as foundation models (FMs), are tra...
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04/12/2023
AGI for Agriculture
Artificial General Intelligence (AGI) is poised to revolutionize a varie...
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04/10/2023
EVKG: An Interlinked and Interoperable Electric Vehicle Knowledge Graph for Smart Transportation System
Over the past decade, the electric vehicle industry has experienced unpr...
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09/29/2022
Towards General-Purpose Representation Learning of Polygonal Geometries
Neural network representation learning for spatial data is a common need...
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01/25/2022
Sphere2Vec: Multi-Scale Representation Learning over a Spherical Surface for Geospatial Predictions
Generating learning-friendly representations for points in a 2D space is...
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12/02/2021
Narrative Cartography with Knowledge Graphs
Narrative cartography is a discipline which studies the interwoven natur...
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11/12/2021
Time in a Box: Advancing Knowledge Graph Completion with Temporal Scopes
Almost all statements in knowledge bases have a temporal scope during wh...
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11/07/2021
A Review of Location Encoding for GeoAI: Methods and Applications
A common need for artificial intelligence models in the broader geoscien...
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05/19/2021
Geographic Question Answering: Challenges, Uniqueness, Classification, and Future Directions
As an important part of Artificial Intelligence (AI), Question Answering...
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04/25/2020
SE-KGE: A Location-Aware Knowledge Graph Embedding Model for Geographic Question Answering and Spatial Semantic Lifting
Learning knowledge graph (KG) embeddings is an emerging technique for a ...
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03/14/2020
Semantically-Enriched Search Engine for Geoportals: A Case Study with ArcGIS Online
Many geoportals such as ArcGIS Online are established with the goal of i...
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02/16/2020
Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells
Unsupervised text encoding models have recently fueled substantial progr...
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10/01/2019
TransGCN:Coupling Transformation Assumptions with Graph Convolutional Networks for Link Prediction
Link prediction is an important and frequently studied task that contrib...
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09/30/2019
Contextual Graph Attention for Answering Logical Queries over Incomplete Knowledge Graphs
Recently, several studies have explored methods for using KG embedding t...
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10/05/2018
