2 citations · 2 across the 3 of their papers we have counts for
3 papers
Inductive Knowledge Graph Completion with GNNs and Rules: An Analysis
Akash Anil, Víctor Gutiérrez-Basulto, Yazmín Ibañéz-García +1
The task of inductive knowledge graph completion requires models to learn inference patterns from a training graph, which can then be used to make predictions on a disjoint test gr…
On Applying Meta-path for Network Embedding in Mining Heterogeneous DBLP Network
Akash Anil, Uppinder Chugh, Sanasam Ranbir Singh
In recent time, applications of network embedding in mining real-world information network have been widely reported in the literature. Majority of the information networks are het…
Network Sampling Using K-hop Random Walks for Heterogeneous Network Embedding
Akash Anil, Ajay Ladhar, Sandeep Singh +2
Sampling a network is an important prerequisite for unsupervised network embedding. Further, random walk has widely been used for sampling in previous studies. Since random walk ba…