Update README.md

README.md

@@ -53,8 +53,8 @@ The hypergraph is stored in HIF (Hypergraph Interchange Format) as a JSON object
 
 In addition to the raw hypergraph topology, vector features are provided for both nodes and hyperedges (in their attribute dictionaries), enabling out-of-the-box experimentation with representation learning and downstream tasks:
 - Spectral features: eigenvectors of the (hypergraph) Laplacian (computed via sparse eigensolvers).
-- Node2Vec embeddings: random-walk–based structural embeddings.
-- VilLain embeddings: self-supervised hypergraph representation learning via virtual label propagation.
+- [Node2Vec](https://dl.acm.org/doi/10.1145/2939672.2939754) embeddings: random-walk–based structural embeddings.
+- [VilLain](https://dl.acm.org/doi/10.1145/3589334.3645454) embeddings: self-supervised hypergraph representation learning via virtual label propagation.
 
 Basic statistics (as packaged here): 327 nodes, 12,799 hyperedges, 1 connected component.