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03/23/2022
Ethereum Fraud Detection with Heterogeneous Graph Neural Networks
While transactions with cryptocurrencies such as Ethereum are becoming m...
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01/23/2022
Investigating Expressiveness of Transformer in Spectral Domain for Graphs
Transformers have been proven to be inadequate for graph representation ...
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06/10/2020
Global Data Science Project for COVID-19 Summary Report
This paper aims at providing the summary of the Global Data Science Proj...
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06/04/2020
The Impact of COVID-19 on Flight Networks
As COVID-19 transmissions spread worldwide, governments have announced a...
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02/26/2019
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
Graph representation learning resurges as a trending research subject ow...
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12/21/2018
Adaptive Pattern Matching with Reinforcement Learning for Dynamic Graphs
Graph pattern matching algorithms to handle million-scale dynamic graphs...
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11/30/2018
Scalable Graph Learning for Anti-Money Laundering: A First Look
Organized crime inflicts human suffering on a genocidal scale: the Mexic...
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08/19/2018
An incremental local-first community detection method for dynamic graphs
Community detections for large-scale real world networks have been more ...
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02/08/2018