Detection of sleep spindles in NREM 2 sleep stages: Preliminary study & benchmarking of algorithms. - Olivier Pallanca; Sammy Khalife; Jesse Read (BIBM, 2018)

Scalable graph-based individual named entity identification. - Sammy Khalife; Michalis Vazirgiannis (CoRR, 2018)

Empirical Analysis of a Global Capital-Ownership Network. - Sammy Khalife; Jesse Read; Michalis Vazirgiannis (COMPLEX NETWORKS (2), 2019)

Geometry and Analogies: A Study and Propagation Method for Word Representations. - Sammy Khalife; Leo Liberti; Michalis Vazirgiannis (SLSP, 2019)

Scalable graph-based method for individual named entity identification. - Sammy Khalife; Michalis Vazirgiannis (TextGraphs@EMNLP, 2019)

Graphs, geometry, and representations for language models and networks of entities. (Graphes, géométrie et représentations pour le langage et les réseaux d'entités). - Sammy Khalife (2020)

Sequence Graphs Realizations and Ambiguity in Language Models. - Sammy Khalife; Yann Ponty; Laurent Bulteau (COCOON, 2021)

Structure and influence in a global capital-ownership network. - Sammy Khalife; Jesse Read; Michalis Vazirgiannis (Appl. Netw. Sci., 2021)

Further results on latent discourse models and word embeddings. - Sammy Khalife; Douglas Soares Gonçalves; Youssef Allouah; Leo Liberti (J. Mach. Learn. Res., 2021)

Neural Networks with Linear Threshold Activations: Structure and Algorithms. - Sammy Khalife; Amitabh Basu (IPCO, 2022)

On the power of graph neural networks and the role of the activation function. - Sammy Khalife; Amitabh Basu (CoRR, 2023)

Graph Neural Networks with polynomial activations have limited expressivity. - Sammy Khalife (CoRR, 2023)

Sample Complexity of Algorithm Selection Using Neural Networks and Its Applications to Branch-and-Cut. - Hongyu Cheng 001; Sammy Khalife; Barbara Fiedorowicz; Amitabh Basu (NeurIPS, 2024)

Data-driven algorithm design using neural networks with applications to branch-and-cut. - Hongyu Cheng 001; Sammy Khalife; Barbara Fiedorowicz; Amitabh Basu (CoRR, 2024)

Is uniform expressivity too restrictive? Towards efficient expressivity of graph neural networks. - Sammy Khalife; Josué Tonelli-Cueto (CoRR, 2024)

Neural networks with linear threshold activations: structure and algorithms. - Sammy Khalife; Hongyu Cheng 001; Amitabh Basu (Math. Program., 2024)

Is uniform expressivity too restrictive? Towards efficient expressivity of GNNs. - Sammy Khalife; Josué Tonelli-Cueto (ICLR, 2025)

How hard is learning to cut? Trade-offs and sample complexity. - Sammy Khalife; Andrea Lodi 001 (CoRR, 2025)