The repository of GALG, a graph-based artificial intelligence approach to link addresses for user tracking on TLS encrypted traffic. The work has been accepted as ECML/PKDD 2022 accepted Paper.

How to run the code? Insure that you have 4 GB memory in your GPU and you ... For the first time of running, the program will load the data and generate a graph, which might cost much time. After that ...

Moreover, with the appropriate modification of the RA encoder, the graph used for decoding is the same of any PR channel, which makes sense calling these codes graph-matched. The simplicity of the ...

Then, we design an encoder–decoder paradigm to collaborate the multiple affinity graphs, which can learn a unified binary code effectively. Notably, we impose the decorrelation and code balance ...

For instance, MGAE leverages auto-encoders in the graph domain to embed node features ... autoencoder mechanism to learn the distribution and derive codes. They introduce a graph geodesic similarity ...

Our proposed model uses a variant of the graph attention network (GAT) as the encoder and uses variants of ConvE [Conv ... train and these results can not be reproduced with the authors' code. KBGAT ...

We show that any quantum convolutional code contains a subcode of finite index which has a non-catastrophic encoding circuit. Our work generalizes the conditions for non-catastrophic encoders derived ...