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DURENDAL: Graph deep learning framework for temporal heterogeneous networks
DURENDAL can help to easily repurpose any heterogeneous graph learning model to evolving networks by combining design principles from snapshot-based and multirelational message-passing graph learning models.
Temporal Smoothness Regularisers for Neural Link Predictors
Furthermore, we evaluate the impact of a wide range of temporal smoothing regularisers on two state-of-the-art temporal link prediction models.
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