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
Most implemented papers
DyCSC: Modeling the Evolutionary Process of Dynamic Networks Based on Cluster Structure
Temporal networks are an important type of network whose topological structure changes over time.
EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph Learning
Dynamic graphs arise in various real-world applications, and it is often welcomed to model the dynamics directly in continuous time domain for its flexibility.
Towards Better Dynamic Graph Learning: New Architecture and Unified Library
yule-buaa/dyglib
•
•
NeurIPS 2023
We propose DyGFormer, a new Transformer-based architecture for dynamic graph learning.
Exploring Time Granularity on Temporal Graphs for Dynamic Link Prediction in Real-world Networks
silencex12138/time-granularity-on-temporal-graphs
•
•
Dynamic Graph Neural Networks (DGNNs) have emerged as the predominant approach for processing dynamic graph-structured data.
New Perspectives on the Evaluation of Link Prediction Algorithms for Dynamic Graphs
We leverage these visualization tools to investigate the effect of negative sampling on the predictive performance, at the node and edge level.
