Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).
A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"
Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.
Measuring the persistence of activity snippets in evolving networks (KDD '20)
Python package for importing and analyzing discrete- and continuous-time dynamic networks
Temporal Network Noise Contrastive Estimation (teneNCE) for Dynamic Link Prediction
A Toolbox for Dynamic Mapping in Python
This Myket Dataset comprises Android application install interactions from a subset of users in the Myket Android application market.
Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"
Temporal Network of bicycle usage in Wroclaw (PL)
Implementation of the dictionary trick for temporal networks
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