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2020 – today
- 2024
[j22]Danhuai Guo
, Yingxue Yu, Shiyin Ge, Song Gao, Gengchen Mai, Huixuan Chen:
SpatialScene2Vec: A self-supervised contrastive representation learning method for spatial scene similarity evaluation. Int. J. Appl. Earth Obs. Geoinformation 128: 103743 (2024)- [j21]Yifan Zhang, Zhiyun Wang, Zhengting He, Jingxuan Li, Gengchen Mai, Jianfeng Lin, Cheng Wei, Wenhao Yu:
BB-GeoGPT: A framework for learning a large language model for geographic information science. Inf. Process. Manag. 61(5): 103808 (2024) - [j20]Gengchen Mai, Weiming Huang, Jin Sun, Suhang Song, Deepak Mishra, Ninghao Liu, Song Gao, Tianming Liu, Gao Cong, Yingjie Hu, Chris Cundy, Ziyuan Li, Rui Zhu, Ni Lao:
On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper). ACM Trans. Spatial Algorithms Syst. 10(2): 11 (2024) - [c34]Zhangyu Wang, Krzysztof Janowicz, Gengchen Mai, Ivan Majic:
Probing the Information Theoretical Roots of Spatial Dependence Measures. COSIT 2024: 9:1-9:18 - [c33]Rohin Manvi, Samar Khanna, Gengchen Mai, Marshall Burke, David B. Lobell, Stefano Ermon:
GeoLLM: Extracting Geospatial Knowledge from Large Language Models. ICLR 2024 - [c32]Zhangyu Wang, Gengchen Mai, Krzysztof Janowicz, Ni Lao:
MC-GTA: Metric-Constrained Model-Based Clustering using Goodness-of-fit Tests with Autocorrelations. ICML 2024 - [c31]Zhongliang Zhou, Jielu Zhang, Zihan Guan, Mengxuan Hu, Ni Lao, Lan Mu, Sheng Li, Gengchen Mai:
Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented Generation. SIGIR 2024: 2749-2754 - [i38]Huaqin Zhao, Zhengliang Liu, Zihao Wu, Yiwei Li, Tianze Yang, Peng Shu, Shaochen Xu, Haixing Dai, Lin Zhao, Gengchen Mai, Ninghao Liu, Tianming Liu:
Revolutionizing Finance with LLMs: An Overview of Applications and Insights. CoRR abs/2401.11641 (2024) - [i37]Yan Luo, Zhuoyue Wan, Yuzhong Chen, Gengchen Mai, Fu-Lai Chung, Kent Larson:
TransFlower: An Explainable Transformer-Based Model with Flow-to-Flow Attention for Commuting Flow Prediction. CoRR abs/2402.15398 (2024) - [i36]Zhongliang Zhou, Jielu Zhang, Zihan Guan, Mengxuan Hu, Ni Lao, Lan Mu, Sheng Li, Gengchen Mai:
Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented Generation. CoRR abs/2403.19584 (2024) - [i35]Zhangyu Wang, Gengchen Mai, Krzysztof Janowicz, Ni Lao:
MC-GTA: Metric-Constrained Model-Based Clustering using Goodness-of-fit Tests with Autocorrelations. CoRR abs/2405.18395 (2024) - [i34]Zhangyu Wang, Krzysztof Janowicz, Gengchen Mai, Ivan Majic:
Probing the Information Theoretical Roots of Spatial Dependence Measures. CoRR abs/2405.18459 (2024) - [i33]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:
TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning. CoRR abs/2406.15658 (2024) - [i32]Hao Li, Fabian Deuser, Wenping Yina, Xuanshu Luo, Paul Walther, Gengchen Mai, Wei Huang, Martin Werner:
Cross-View Geolocalization and Disaster Mapping with Street-View and VHR Satellite Imagery: A Case Study of Hurricane IAN. CoRR abs/2408.06761 (2024) - [i31]Zhenyuan Yang, Xuhui Lin, Qinyi He, Ziye Huang, Zhengliang Liu, Hanqi Jiang, Peng Shu, Zihao Wu, Yiwei Li, Stephen Law, Gengchen Mai, Tianming Liu, Tao Yang:
Examining the Commitments and Difficulties Inherent in Multimodal Foundation Models for Street View Imagery. CoRR abs/2408.12821 (2024) - 2023
- [j19]Ling Cai, Krzysztof Janowicz, Rui Zhu, Gengchen Mai, Bo Yan, Zhangyu Wang:
HyperQuaternionE: A hyperbolic embedding model for qualitative spatial and temporal reasoning. GeoInformatica 27(2): 159-197 (2023) - [j18]Gengchen Mai, Chiyu Jiang, Weiwei Sun, Rui Zhu, Yao Xuan, Ling Cai, Krzysztof Janowicz, Stefano Ermon, Ni Lao:
Towards general-purpose representation learning of polygonal geometries. GeoInformatica 27(2): 289-340 (2023) - [j17]Yingjie Hu, Gengchen Mai, Chris Cundy, Kristy Choi, Ni Lao, Wei Liu, Gaurish Lakhanpal, Ryan Zhenqi Zhou, Kenneth Joseph:
Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages. Int. J. Geogr. Inf. Sci. 37(11): 2289-2318 (2023) - [j16]Yanlin Qi, Gengchen Mai, Rui Zhu, Michael Zhang:
EVKG: An interlinked and interoperable electric vehicle knowledge graph for smart transportation system. Trans. GIS 27(4): 949-974 (2023) - [c30]Jinmeng Rao, Song Gao, Gengchen Mai, Krzysztof Janowicz:
Building Privacy-Preserving and Secure Geospatial Artificial Intelligence Foundation Models (Vision Paper). SIGSPATIAL/GIS 2023: 41:1-41:4 - [c29]Hao Li, Jiapan Wang, Johann Maximilian Zollner, Gengchen Mai, Ni Lao, Martin Werner:
Rethink Geographical Generalizability with Unsupervised Self-Attention Model Ensemble: A Case Study of OpenStreetMap Missing Building Detection in Africa. SIGSPATIAL/GIS 2023: 55:1-55:9 - [c28]Yiqun Xie, Zhaonan Wang, Gengchen Mai, Yanhua Li, Xiaowei Jia, Song Gao, Shaowen Wang:
Geo-Foundation Models: Reality, Gaps and Opportunities. SIGSPATIAL/GIS 2023: 66:1-66:4 - [c27]Yucheng Shi, Hehuan Ma, Wenliang Zhong, Qiaoyu Tan, Gengchen Mai, Xiang Li, Tianming Liu, Junzhou Huang:
ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs. ICDM (Workshops) 2023: 515-520 - [c26]Gengchen Mai, Ni Lao, Yutong He, Jiaming Song, Stefano Ermon:
CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations. ICML 2023: 23498-23515 - [c25]Cogan Shimizu, Shirly Stephen, Rui Zhu, Kitty Currier, Mark Schildhauer, Dean Rehberger, Pascal Hitzler, Krzysztof Janowicz, Colby K. Fisher, Mohammad Saeid Mahdavinejad, Antrea Christou, Adrita Barua, Abhilekha Dalal, Sanaz Saki Norouzi, Zilong Liu, Meilin Shi, Ling Cai, Gengchen Mai, Zhangyu Wang, Yuanyuan Tian:
The KnowWhereGraph Ontology: A Showcase. JOWO 2023 - [c24]Shirly Stephen, Mark Schildhauer, Ling Cai, Yuanyuan Tian, Kitty Currier, Cogan Shimizu, Krzysztof Janowicz, Pascal Hitzler, Anna Lopez-Carr, Andrew Schroeder, Zilong Liu, Rui Zhu, Colby K. Fisher, Gengchen Mai, Tony Huang:
The Expertise Ontology: Modeling Expertise in the Context of Emergency Management. JOWO 2023 - [e1]Shawn D. Newsam, Lexie Yang, Gengchen Mai, Bruno Martins, Dalton D. Lunga, Song Gao:
Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2023, Hamburg, Germany, 13 November 2023. ACM 2023 [contents] - [i30]Yanlin Qi, Gengchen Mai, Rui Zhu, Michael Zhang:
EVKG: An Interlinked and Interoperable Electric Vehicle Knowledge Graph for Smart Transportation System. CoRR abs/2304.04893 (2023) - [i29]Guoyu Lu, Sheng Li, Gengchen Mai, Jin Sun, Dajiang Zhu, Lilong Chai, Haijian Sun, Xianqiao Wang, Haixing Dai, Ninghao Liu, Rui Xu, Daniel Petti, Changying Li, Tianming Liu:
AGI for Agriculture. CoRR abs/2304.06136 (2023) - [i28]Gengchen Mai, Weiming Huang, Jin Sun, Suhang Song, Deepak Mishra, Ninghao Liu, Song Gao, Tianming Liu, Gao Cong, Yingjie Hu, Chris Cundy, Ziyuan Li, Rui Zhu, Ni Lao:
On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence. CoRR abs/2304.06798 (2023) - [i27]Jielu Zhang, Zhongliang Zhou, Gengchen Mai, Lan Mu, Mengxuan Hu, Sheng Li:
Text2Seg: Remote Sensing Image Semantic Segmentation via Text-Guided Visual Foundation Models. CoRR abs/2304.10597 (2023) - [i26]Ehsan Latif, Gengchen Mai, Matthew Nyaaba, Xuansheng Wu, Ninghao Liu, Guoyu Lu, Sheng Li, Tianming Liu, Xiaoming Zhai:
Artificial General Intelligence (AGI) for Education. CoRR abs/2304.12479 (2023) - [i25]Gengchen Mai, Ni Lao, Yutong He, Jiaming Song, Stefano Ermon:
CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations. CoRR abs/2305.01118 (2023) - [i24]Yucheng Shi, Hehuan Ma, Wenliang Zhong, Gengchen Mai, Xiang Li, Tianming Liu, Junzhou Huang:
ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs. CoRR abs/2305.03513 (2023) - [i23]Haixing Dai, Yiwei Li, Zhengliang Liu, Lin Zhao, Zihao Wu, Suhang Song, Ye Shen, Dajiang Zhu, Xiang Li, Sheng Li, Xiaobai Yao, Lu Shi, Quanzheng Li, Zhuo Chen, Donglan Zhang, Gengchen Mai, Tianming Liu:
AD-AutoGPT: An Autonomous GPT for Alzheimer's Disease Infodemiology. CoRR abs/2306.10095 (2023) - [i22]Saed Rezayi, Zhengliang Liu, Zihao Wu, Chandra Dhakal, Bao Ge, Haixing Dai, Gengchen Mai, Ninghao Liu, Chen Zhen, Tianming Liu, Sheng Li:
Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications. CoRR abs/2306.11892 (2023) - [i21]Gengchen Mai, Yao Xuan, Wenyun Zuo, Yutong He, Jiaming Song, Stefano Ermon, Krzysztof Janowicz, Ni Lao:
Sphere2Vec: A General-Purpose Location Representation Learning over a Spherical Surface for Large-Scale Geospatial Predictions. CoRR abs/2306.17624 (2023) - [i20]Fei Dou, Jin Ye, Geng Yuan, Qin Lu, Wei Niu, Haijian Sun, Le Guan, Guoyu Lu, Gengchen Mai, Ninghao Liu, Jin Lu, Zhengliang Liu, Zihao Wu, Chenjiao Tan, Shaochen Xu, Xianqiao Wang, Guoming Li, Lilong Chai, Sheng Li, Jin Sun, Hongyue Sun, Yunli Shao, Changying Li, Tianming Liu, Wenzhan Song:
Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges. CoRR abs/2309.07438 (2023) - [i19]Jinmeng Rao, Song Gao, Gengchen Mai, Krzysztof Janowicz:
Building Privacy-Preserving and Secure Geospatial Artificial Intelligence Foundation Models. CoRR abs/2309.17319 (2023) - [i18]Gengchen Mai, Ni Lao, Weiwei Sun, Yuchi Ma, Jiaming Song, Chenlin Meng, Hongxu Ma, Jinmeng Rao, Ziyuan Li, Stefano Ermon:
SSIF: Learning Continuous Image Representation for Spatial-Spectral Super-Resolution. CoRR abs/2310.00413 (2023) - [i17]Rohin Manvi, Samar Khanna, Gengchen Mai, Marshall Burke, David B. Lobell, Stefano Ermon:
GeoLLM: Extracting Geospatial Knowledge from Large Language Models. CoRR abs/2310.06213 (2023) - [i16]Yingjie Hu, Gengchen Mai, Chris Cundy, Kristy Choi, Ni Lao, Wei Liu, Gaurish Lakhanpal, Ryan Zhenqi Zhou, Kenneth Joseph:
Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages. CoRR abs/2310.09340 (2023) - [i15]Zhengliang Liu, Yiwei Li, Qian Cao, Junwen Chen, Tianze Yang, Zihao Wu, John Hale, John Gibbs, Khaled Rasheed, Ninghao Liu, Gengchen Mai, Tianming Liu:
Transformation vs Tradition: Artificial General Intelligence (AGI) for Arts and Humanities. CoRR abs/2310.19626 (2023) - [i14]Gyeong-Geon Lee, Lehong Shi, Ehsan Latif, Yizhu Gao, Arne Bewersdorff, Matthew Nyaaba, Shuchen Guo, Zihao Wu, Zhengliang Liu, Hui Wang, Gengchen Mai, Tiaming Liu, Xiaoming Zhai:
Multimodality of AI for Education: Towards Artificial General Intelligence. CoRR abs/2312.06037 (2023) - [i13]Chenjiao Tan, Qian Cao, Yiwei Li, Jielu Zhang, Xiao Yang, Huaqin Zhao, Zihao Wu, Zhengliang Liu, Hao Yang, Nemin Wu, Tao Tang, Xinyue Ye, Lilong Chai, Ninghao Liu, Changying Li, Lan Mu, Tianming Liu, Gengchen Mai:
On the Promises and Challenges of Multimodal Foundation Models for Geographical, Environmental, Agricultural, and Urban Planning Applications. CoRR abs/2312.17016 (2023) - 2022
- [j15]Krzysztof Janowicz, Pascal Hitzler, Wenwen Li, Dean Rehberger, Mark Schildhauer, Rui Zhu, Cogan Shimizu, Colby K. Fisher, Ling Cai, Gengchen Mai, Joseph Zalewski, Lu Zhou, Shirly Stephen, Seila Gonzalez Estrecha, Bryce D. Mecum, Anna Lopez-Carr, Andrew Schroeder, Dave Smith, Dawn J. Wright, Sizhe Wang, Yuanyuan Tian, Zilong Liu, Meilin Shi, Anthony D'Onofrio, Zhining Gu, Kitty Currier:
Know, Know Where, Knowwheregraph: A Densely Connected, Cross-Domain Knowledge Graph and Geo-Enrichment Service Stack for Applications in Environmental Intelligence. AI Mag. 43(1): 30-39 (2022) - [j14]Gengchen Mai, Krzysztof Janowicz, Yingjie Hu, Song Gao, Bo Yan, Rui Zhu, Ling Cai, Ni Lao:
A review of location encoding for GeoAI: methods and applications. Int. J. Geogr. Inf. Sci. 36(4): 639-673 (2022) - [j13]Rui Zhu, Krzysztof Janowicz, Ling Cai, Gengchen Mai:
Reasoning over higher-order qualitative spatial relations via spatially explicit neural networks. Int. J. Geogr. Inf. Sci. 36(11): 2194-2225 (2022) - [j12]Krzysztof Janowicz, Cogan Shimizu, Pascal Hitzler, Gengchen Mai, Shirly Stephen, Rui Zhu, Ling Cai, Lu Zhou, Mark Schildhauer, Zilong Liu, Zhangyu Wang, Meilin Shi:
Diverse data! Diverse schemata? Semantic Web 13(1): 1-3 (2022) - [j11]Bruno Martins, Dalton D. Lunga, Song Gao, Shawn D. Newsam, Lexie Yang, Xueqing Deng, Gengchen Mai:
Report of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery (GeoAI 2022). ACM SIGSPATIAL Special 14(1): 23-25 (2022) - [j10]Rui Zhu, Krzysztof Janowicz, Gautam S. Thakur, Xiaogang Ma, Ellie Young, Gengchen Mai:
GeoKG'2022 Workshop Report: The 1st ACM SIGSPATIAL International Workshop on Geospatial Knowledge Graphs. ACM SIGSPATIAL Special 14(1): 37-39 (2022) - [j9]Gengchen Mai, Yingjie Hu, Song Gao, Ling Cai, Bruno Martins, Johannes Scholz, Jing Gao, Krzysztof Janowicz:
Symbolic and subsymbolic GeoAI: Geospatial knowledge graphs and spatially explicit machine learning. Trans. GIS 26(8): 3118-3124 (2022) - [c23]Zilong Liu, Meilin Shi, Krzysztof Janowicz, Blake Regalia, Stephanie Delbecque, Gengchen Mai, Rui Zhu, Pascal Hitzler:
LD Connect: A Linked Data Portal for IOS Press Scientometrics. ESWC 2022: 323-337 - [c22]Amna Elmustafa, Erik Rozi, Yutong He, Gengchen Mai, Stefano Ermon, Marshall Burke, David B. Lobell:
Understanding economic development in rural Africa using satellite imagery, building footprints and deep models. SIGSPATIAL/GIS 2022: 89:1-89:4 - [c21]Gengchen Mai, Chris Cundy, Kristy Choi, Yingjie Hu, Ni Lao, Stefano Ermon:
Towards a foundation model for geospatial artificial intelligence (vision paper). SIGSPATIAL/GIS 2022: 106:1-106:4 - [i12]Gengchen Mai, Yao Xuan, Wenyun Zuo, Krzysztof Janowicz, Ni Lao:
Sphere2Vec: Multi-Scale Representation Learning over a Spherical Surface for Geospatial Predictions. CoRR abs/2201.10489 (2022) - [i11]Gengchen Mai, Chiyu Jiang, Weiwei Sun, Rui Zhu, Yao Xuan, Ling Cai, Krzysztof Janowicz, Stefano Ermon, Ni Lao:
Towards General-Purpose Representation Learning of Polygonal Geometries. CoRR abs/2209.15458 (2022) - 2021
- [c20]Rui Zhu, Shirly Stephen, Lu Zhou, Cogan Shimizu, Ling Cai, Gengchen Mai, Krzysztof Janowicz, Pascal Hitzler, Mark Schildhauer:
Environmental Observations in Knowledge Graphs. DaMaLOS 2021: 1-11 - [c19]Rui Zhu, Cogan Shimizu, Shirly Stephen, Lu Zhou, Ling Cai, Gengchen Mai, Krzysztof Janowicz, Mark Schildhauer, Pascal Hitzler:
SOSA-SHACL: Shapes Constraint for the Sensor, Observation, Sample, and Actuator Ontology. IJCKG 2021: 99-107 - [c18]Cogan Shimizu, Rui Zhu, Gengchen Mai, Colby K. Fisher, Ling Cai, Mark Schildhauer, Krzysztof Janowicz, Pascal Hitzler, Lu Zhou, Shirly Stephen:
A Pattern for Features on a Hierarchical Spatial Grid. IJCKG 2021: 108-114 - [c17]Ling Cai, Krzysztof Janowicz, Bo Yan, Rui Zhu, Gengchen Mai:
Time in a Box: Advancing Knowledge Graph Completion with Temporal Scopes. K-CAP 2021: 121-128 - [c16]Rui Zhu, Ling Cai, Gengchen Mai, Cogan Shimizu, Colby K. Fisher, Krzysztof Janowicz, Anna Lopez-Carr, Andrew Schroeder, Mark Schildhauer, Yuanyuan Tian, Shirly Stephen, Zilong Liu:
Providing Humanitarian Relief Support through Knowledge Graphs. K-CAP 2021: 285-288 - [i10]Gengchen Mai, Krzysztof Janowicz, Rui Zhu, Ling Cai, Ni Lao:
Geographic Question Answering: Challenges, Uniqueness, Classification, and Future Directions. CoRR abs/2105.09392 (2021) - [i9]Gengchen Mai, Krzysztof Janowicz, Yingjie Hu, Song Gao, Bo Yan, Rui Zhu, Ling Cai, Ni Lao:
A Review of Location Encoding for GeoAI: Methods and Applications. CoRR abs/2111.04006 (2021) - [i8]Ling Cai, Krzysztof Janowicz, Bo Yan, Rui Zhu, Gengchen Mai:
Time in a Box: Advancing Knowledge Graph Completion with Temporal Scopes. CoRR abs/2111.06854 (2021) - [i7]Gengchen Mai, Weiming Huang, Ling Cai, Rui Zhu, Ni Lao:
Narrative Cartography with Knowledge Graphs. CoRR abs/2112.00970 (2021) - 2020
- [j8]Gengchen Mai, Krzysztof Janowicz, Ling Cai, Rui Zhu, Blake Regalia, Bo Yan, Meilin Shi, Ni Lao:
SE-KGE : A location-aware Knowledge Graph Embedding model for Geographic Question Answering and Spatial Semantic Lifting. Trans. GIS 24(3): 623-655 (2020) - [j7]Ling Cai, Krzysztof Janowicz, Gengchen Mai, Bo Yan, Rui Zhu:
Traffic transformer: Capturing the continuity and periodicity of time series for traffic forecasting. Trans. GIS 24(3): 736-755 (2020) - [c15]Gengchen Mai, Krzysztof Janowicz, Bo Yan, Rui Zhu, Ling Cai, Ni Lao:
Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells. ICLR 2020 - [i6]Gengchen Mai, Krzysztof Janowicz, Bo Yan, Rui Zhu, Ling Cai, Ni Lao:
Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells. CoRR abs/2003.00824 (2020) - [i5]Gengchen Mai, Krzysztof Janowicz, Sathya Prasad, Meilin Shi, Ling Cai, Rui Zhu, Blake Regalia, Ni Lao:
Semantically-Enriched Search Engine for Geoportals: A Case Study with ArcGIS Online. CoRR abs/2003.06561 (2020) - [i4]Gengchen Mai, Krzysztof Janowicz, Ling Cai, Rui Zhu, Blake Regalia, Bo Yan, Meilin Shi, Ni Lao:
SE-KGE: A Location-Aware Knowledge Graph Embedding Model for Geographic Question Answering and Spatial Semantic Lifting. CoRR abs/2004.14171 (2020)
2010 – 2019
- 2019
- [j6]Rui Zhu, Krzysztof Janowicz, Gengchen Mai:
Making direction a first-class citizen of Tobler's first law of geography. Trans. GIS 23(3): 398-416 (2019) - [j5]Gengchen Mai, Krzysztof Janowicz, Bo Yan, Simon Scheider:
Deeply integrating Linked Data with Geographic Information Systems. Trans. GIS 23(3): 579-600 (2019) - [j4]Bo Yan, Krzysztof Janowicz, Gengchen Mai, Rui Zhu:
A spatially explicit reinforcement learning model for geographic knowledge graph summarization. Trans. GIS 23(3): 620-640 (2019) - [c14]Gengchen Mai, Bo Yan, Krzysztof Janowicz, Rui Zhu:
Relaxing Unanswerable Geographic Questions Using A Spatially Explicit Knowledge Graph Embedding Model. AGILE Conference 2019: 21-39 - [c13]Ling Cai, Bo Yan, Gengchen Mai, Krzysztof Janowicz, Rui Zhu:
TransGCN: Coupling Transformation Assumptions with Graph Convolutional Networks for Link Prediction. K-CAP 2019: 131-138 - [c12]Gengchen Mai, Krzysztof Janowicz, Bo Yan, Rui Zhu, Ling Cai, Ni Lao:
Contextual Graph Attention for Answering Logical Queries over Incomplete Knowledge Graphs. K-CAP 2019: 171-178 - [i3]Gengchen Mai, Krzysztof Janowicz, Bo Yan, Rui Zhu, Ling Cai, Ni Lao:
Contextual Graph Attention for Answering Logical Queries over Incomplete Knowledge Graphs. CoRR abs/1910.00084 (2019) - [i2]Ling Cai, Bo Yan, Gengchen Mai, Krzysztof Janowicz, Rui Zhu:
TransGCN: Coupling Transformation Assumptions with Graph Convolutional Networks for Link Prediction. CoRR abs/1910.00702 (2019) - 2018
- [j3]Krzysztof Janowicz, Blake Regalia, Pascal Hitzler, Gengchen Mai, Stephanie Delbecque, Maarten Fröhlich, Patrick Martinent, Trevor Lazarus:
On the prospects of blockchain and distributed ledger technologies for open science and academic publishing. Semantic Web 9(5): 545-555 (2018) - [j2]Gengchen Mai, Krzysztof Janowicz, Yingjie Hu, Song Gao:
ADCN: An anisotropic density-based clustering algorithm for discovering spatial point patterns with noise. Trans. GIS 22(1): 348-369 (2018) - [c11]Gengchen Mai, Krzysztof Janowicz, Bo Yan:
Support and Centrality: Learning Weights for Knowledge Graph Embedding Models. EKAW 2018: 212-227 - [c10]Blake Regalia, Krzysztof Janowicz, Gengchen Mai, Dalia Varanka, E. Lynn Usery:
GNIS-LD: Serving and Visualizing the Geographic Names Information System Gazetteer as Linked Data. ESWC 2018: 528-540 - [c9]Gengchen Mai, Krzysztof Janowicz, Cheng He, Sumang Liu, Ni Lao:
POIReviewQA: A Semantically Enriched POI Retrieval and Question Answering Dataset. GIR@SIGSPATIAL 2018: 5:1-5:2 - [c8]Bo Yan, Krzysztof Janowicz, Gengchen Mai, Rui Zhu:
xNet+SC: Classifying Places Based on Images by Incorporating Spatial Contexts. GIScience 2018: 17:1-17:15 - [c7]Krzysztof Janowicz, Bo Yan, Blake Regalia, Rui Zhu, Gengchen Mai:
Debiasing Knowledge Graphs: Why Female Presidents are not like Female Popes. ISWC (P&D/Industry/BlueSky) 2018 - [c6]Gengchen Mai, Krzysztof Janowicz, Bo Yan:
Combining Text Embedding and Knowledge Graph Embedding Techniques for Academic Search Engines. Semdeep/NLIWoD@ISWC 2018: 77-88 - [i1]Gengchen Mai, Krzysztof Janowicz, Cheng He, Sumang Liu, Ni Lao:
POIReviewQA: A Semantically Enriched POI Retrieval and Question Answering Dataset. CoRR abs/1810.02802 (2018) - 2017
- [b1]Gengchen Mai:
ADCN: An Anisotropic Density-Based Clustering Algorithm for Discovering Spatial Point Patterns with Noise. University of California, Santa Barbara, USA, 2017 - [c5]Bo Yan, Krzysztof Janowicz, Gengchen Mai, Song Gao:
From ITDL to Place2Vec: Reasoning About Place Type Similarity and Relatedness by Learning Embeddings From Augmented Spatial Contexts. SIGSPATIAL/GIS 2017: 35:1-35:10 - [c4]Blake Regalia, Krzysztof Janowicz, Gengchen Mai:
Phuzzy.link: A SPARQL-powered Client-Sided Extensible Semantic Web Browser. VOILA@ISWC 2017: 34-44 - 2016
- [c3]Gengchen Mai, Krzysztof Janowicz, Yingjie Hu, Song Gao:
ADCN: an anisotropic density-based clustering algorithm. SIGSPATIAL/GIS 2016: 58:1-58:4 - [c2]Krzysztof Janowicz, Yingjie Hu, Grant McKenzie, Song Gao, Blake Regalia, Gengchen Mai, Rui Zhu, Benjamin Adams, Kerry L. Taylor:
Moon Landing or Safari? A Study of Systematic Errors and Their Causes in Geographic Linked Data. GIScience 2016: 275-290 - [c1]Gengchen Mai, Krzysztof Janowicz, Yingjie Hu, Grant McKenzie:
A Linked Data Driven Visual Interface for the Multi-perspective Exploration of Data Across Repositories. VOILA@ISWC 2016: 93-101 - 2015
- [j1]Rui Xiao, Shiliang Su, Gengchen Mai, Zhonghao Zhang, Chenxue Yang:
Quantifying determinants of cash crop expansion and their relative effects using logistic regression modeling and variance partitioning. Int. J. Appl. Earth Obs. Geoinformation 34: 258-263 (2015)
Coauthor Index
[c34] [c32] [i35] [i34] [j19] [j18] [c30] [c25] [c24] [i21] [i19] [j15] [j14] [j13] [j12] [j10] [j9] [c23] [i12] [i11] [c20] [c19] [c18] [c17] [c16] [i10] [i9] [i8] [j8] [j7] [c15] [i6] [i5] [i4] [j6] [j5] [j4] [c14] [c13] [c12] [i3] [i2] [j3] [j2] [c11] [c10] [c9] [c8] [c7] [c6] [i1] [c5] [c4] [c3] [c2] [c1]
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For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-23 20:32 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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the dblp computer science bibliography is funded and supported by:
