HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs
In many real-world network datasets such as co-authorship, co-citation, email communication, etc., relationships are complex and go beyond pairwise. Hypergraphs provide a flexible and natural modeling tool to model such complex relationships... (read more)
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Methods used in the Paper
| METHOD | TYPE | |
|---|---|---|
GCN
|
Graph Models |