Dynamic Link Prediction
7 papers with code • 2 benchmarks • 3 datasets
Benchmarks
These leaderboards are used to track progress in Dynamic Link Prediction
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Libraries
Use these libraries to find Dynamic Link Prediction models and implementations
Enron Email Dataset
HeriGraph
Most implemented papers
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
IBM/EvolveGCN
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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.
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.
dyngraph2vec: Capturing Network Dynamics using Dynamic Graph Representation Learning
Capturing such evolution is key to predicting the properties of unseen networks.
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).
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).
Benchmarking Graph Neural Networks on Dynamic Link Prediction
We compare link prediction heuristics, GNNs, discrete DGNNs, and continuous DGNNs on dynamic link prediction.
Euler: Detecting Network Lateral Movement via Scalable Temporal Link Prediction
iHeartGraph/Euler
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NDSS 2022
In this paper, we propose a formalized approach to this problem with a framework we call EULER.
