pathpyG
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pathpy
GPU-accelerated Next-Generation Network Analytics and Graph Learning for Time Series Data on Complex Networks.
New implementation of lift order temporal, temporal shortest paths and temporal closeness centrality
This pull request contains the new memory-efficient implementation of the `lift_order_temporal` function that creates a temporal event DAG from a temporal graph with given delta. I also added the new...
This branch proposes the following modifications: - Implementation of model selection for MultiOrderModel (for walk data only) - tests for the modules related to model selection in MultiOrderModel - functions...
The MultiOrderModel implementation is constructed with layers starting from 1. The model selection is currently implemented with some workarounds to account for the frequencies and probabilities of transitions in zeroth...
Currently the method `MultiOrderModel.lift_order_edge_index(...)` requires `num_nodes` as argument. If you set this incorrectly, you will get an error as follows: ``` IndexError Traceback (most recent call last) Cell In[33], line...
Added Watts-Strogatz Random Graph Generation Algorithm to the algorithms directory.
The current code to calculate temporal paths in a TemporalGraph suffers from explosive memory usage, which crashes the kernel. Also, despite using the GPU it is not efficient due to...
I get the following error: No such file or directory: '/opt/conda/lib/python3.10/site-packages/pathpyG/visualisations/templates/tikz-network.sty'