Publications

• Journal articles
• Conference proceedings
• Software
• Thesis
• Miscellaneous

• D.Ruiz, L.l.G, P.A.Knight, &S.Mouysset. (2023) Introducing the Class of Semi-Doubly Stochastic Matrices: A Novel Scaling Approach for Rectangular Matrices. SIMAX.

  paper

• L.l.G, &P.A.Knight. (2022) MARGOT: Scalable Partitioning of Directed Graphs Using Graphlets.

  paper code

• L.l.G. (2022) An Efficient Implementation of Weisfeiler-Lehman Kernel for Large Weighted Graphs.

  software

• L.l.G, S.Mouysset, &D.Ruiz. (2022) Doubly Stochastic Scaling Unifies Community Detection. NeuroComputing.

  paper code

• L.l.G, P.A.Knight, &A.Caen. (2022) Learning network embeddings using small graphlets. Social Network Analysis and Mining.

  paper code

• L.l.G, &P.A.Knight. (2020) A Simple embedding for classifying networks with a few graphlets. ASONAM.

  paper code

• L.l.G. (2019) Équilibrage bi-stochastique des matrices pour la détection de structures par blocs et applications. Université Paul Sabatier-Toulouse III.

  manuscript

• L.l.G, S. Mouysset, I.S.Duff, P.A.Knight, &D.Ruiz. (2019) Uncovering hidden block structure for clustering. ECML-PKDD.

  paper download code

• L.l.G, S. Mouysset, D.Ruiz, I.S.Duff, &P.A.Knight. (2019) Détection Automatique de Structures blocs sur des Matrices. CAp.

  paper