Dynamic Link Prediction
15 papers with code • 9 benchmarks • 7 datasets
Benchmarks
These leaderboards are used to track progress in Dynamic Link Prediction
Libraries
Use these libraries to find Dynamic Link Prediction models and implementationsDatasets
Reddit
Enron Emails
HeriGraph
Latest papers
Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions
We consider a common case in which edges can be short term interactions (e. g., messaging) or long term structural connections (e. g., friendship).
Variational Graph Recurrent Neural Networks
VGraphRNN/VGRNN
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NeurIPS 2019
Representation learning over graph structured data has been mostly studied in static graph settings while efforts for modeling dynamic graphs are still scant.
DyRep: Learning Representations over Dynamic Graphs
Harryi0/dyrep_torch
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ICLR 2019
We present DyRep - a novel modeling framework for dynamic graphs that posits representation learning as a latent mediation process bridging two observed processes namely -- dynamics of the network (realized as topological evolution) and dynamics on the network (realized as activities between nodes).
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
dmlc/dgl
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Existing approaches typically resort to node embeddings and use a recurrent neural network (RNN, broadly speaking) to regulate the embeddings and learn the temporal dynamics.
dyngraph2vec: Capturing Network Dynamics using Dynamic Graph Representation Learning
Capturing such evolution is key to predicting the properties of unseen networks.
