A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"
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Updated
Jul 25, 2024 - Python
A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"
Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).
Measuring the persistence of activity snippets in evolving networks (KDD '20)
Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.
Python package for importing and analyzing discrete- and continuous-time dynamic networks
A Toolbox for Dynamic Mapping in Python
Temporal Network of bicycle usage in Wroclaw (PL)
Temporal Network Noise Contrastive Estimation (teneNCE) for Dynamic Link Prediction
Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"
Implementation of the dictionary trick for temporal networks
This Myket Dataset comprises Android application install interactions from a subset of users in the Myket Android application market.
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