Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs. (arXiv:2211.08568v1 [cs.LG])

Link prediction on dynamic graphs is an important task in graph mining.
Existing approaches based on dynamic graph neural networks (DGNNs) typically
require a significant amount of historical data (interactions over time), which
is not always available in practice. The missing links over time, which is a
common phenomenon in graph data, further aggravates the issue and thus creates
extremely sparse and dynamic graphs. To address this problem, we propose a
novel method based on the neural process, called Graph …

arxiv graph graphs link prediction prediction process