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 ...

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.

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 ...

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 ...

In addition, the existing graph auto-encoder based approaches perform poorly on weighted graph, which is widely used in graph based clustering. In this paper, we propose a graph auto-encoder with ...

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 ...