46 citations · 78 across the 12 of their papers we have counts for
12 papers
The Society of HiveMind: Multi-Agent Optimization of Foundation Model Swarms to Unlock the Potential of Collective Intelligence
Noah Mamie, Susie Xi Rao
Multi-agent systems address issues of accessibility and scalability of artificial intelligence (AI) foundation models, which are often represented by large language models. We deve…
Retrofitting Temporal Graph Neural Networks with Transformer
Qiang Huang, Xiao Yan, Xin Wang +5
Temporal graph neural networks (TGNNs) outperform regular GNNs by incorporating time information into graph-based operations. However, TGNNs adopt specialized models (e.g., TGN, TG…
Building Floorspace in China: A Dataset and Learning Pipeline
Peter Egger, Susie Xi Rao, Sebastiano Papini
This paper provides a first milestone in measuring the floorspace of buildings (that is, building footprint and height) for 40 major Chinese cities. The intent is to maximize city…
SAINE: Scientific Annotation and Inference Engine of Scientific Research
Susie Xi Rao, Yilei Tu, Peter H. Egger
We present SAINE, an Scientific Annotation and Inference ENgine based on a set of standard open-source software, such as Label Studio and MLflow. We show that our annotation engine…
Hierarchical Classification of Research Fields in the "Web of Science" Using Deep Learning
Susie Xi Rao, Peter H. Egger, Ce Zhang
This paper presents a hierarchical classification system that automatically categorizes a scholarly publication using its abstract into a three-tier hierarchical label set (discipl…
Neural Methods for Logical Reasoning Over Knowledge Graphs
Alfonso Amayuelas, Shuai Zhang, Susie Xi Rao +1
Reasoning is a fundamental problem for computers and deeply studied in Artificial Intelligence. In this paper, we specifically focus on answering multi-hop logical queries on Knowl…
Keyword Extraction in Scientific Documents
Susie Xi Rao, Piriyakorn Piriyatamwong, Parijat Ghoshal +7
The scientific publication output grows exponentially. Therefore, it is increasingly challenging to keep track of trends and changes. Understanding scientific documents is an impor…
BRIGHT -- Graph Neural Networks in Real-Time Fraud Detection
Mingxuan Lu, Zhichao Han, Susie Xi Rao +6
Detecting fraudulent transactions is an essential component to control risk in e-commerce marketplaces. Apart from rule-based and machine learning filters that are already deployed…
Modelling graph dynamics in fraud detection with "Attention"
Susie Xi Rao, Clémence Lanfranchi, Shuai Zhang +7
At online retail platforms, detecting fraudulent accounts and transactions is crucial to improve customer experience, minimize loss, and avoid unauthorized transactions. Despite th…
TableParser: Automatic Table Parsing with Weak Supervision from Spreadsheets
Susie Xi Rao, Johannes Rausch, Peter Egger +1
Tables have been an ever-existing structure to store data. There exist now different approaches to store tabular data physically. PDFs, images, spreadsheets, and CSVs are leading e…
Suspicious Massive Registration Detection via Dynamic Heterogeneous Graph Neural Networks
Susie Xi Rao, Shuai Zhang, Zhichao Han +6
Massive account registration has raised concerns on risk management in e-commerce companies, especially when registration increases rapidly within a short time frame. To monitor th…
xFraud: Explainable Fraud Transaction Detection
Susie Xi Rao, Shuai Zhang, Zhichao Han +6
At online retail platforms, it is crucial to actively detect the risks of transactions to improve customer experience and minimize financial loss. In this work, we propose xFraud,…