Mineral: Multi-modal Network Representation Learning. - Zekarias T. Kefato; Nasrullah Sheikh; Alberto Montresor (MOD, 2017)

REFINE: Representation Learning from Diffusion Events. - Zekarias T. Kefato; Nasrullah Sheikh; Alberto Montresor (LOD, 2018)

CAS2VEC: Network-Agnostic Cascade Prediction in Online Social Networks. - Zekarias T. Kefato; Nasrullah Sheikh; Leila Bahri; Amira Soliman 001; Alberto Montresor; Sarunas Girdzijauskas (SNAMS, 2018)

Semi-Supervised Heterogeneous Information Network Embedding for Node Classification Using 1D-CNN. - Nasrullah Sheikh; Zekarias T. Kefato; Alberto Montresor (SNAMS, 2018)

A Simple Approach to Attributed Graph Embedding via Enhanced Autoencoder. - Nasrullah Sheikh; Zekarias T. Kefato; Alberto Montresor (COMPLEX NETWORKS (1), 2019)

gat2vec: representation learning for attributed graphs. - Nasrullah Sheikh; Zekarias T. Kefato; Alberto Montresor (Computing, 2019)

Network and Cascade Representation Learning: Algorithms based on Information Diffusion Events. - Zekarias T. Kefato (2019)

Gossip and Attend: Context-Sensitive Graph Representation Learning. - Zekarias T. Kefato; Sarunas Girdzijauskas (ICWSM, 2020)

Graph Neighborhood Attentive Pooling. - Zekarias T. Kefato; Sarunas Girdzijauskas (CoRR, 2020)

Which way? Direction-Aware Attributed Graph Embedding. - Zekarias T. Kefato; Nasrullah Sheikh; Alberto Montresor (CoRR, 2020)

Dynamic Embeddings for Interaction Prediction. - Zekarias T. Kefato; Sarunas Girdzijauskas; Nasrullah Sheikh; Alberto Montresor (WWW, 2021)

Self-supervised Graph Neural Networks without explicit negative sampling. - Zekarias T. Kefato; Sarunas Girdzijauskas (CoRR, 2021)

Jointly Learnable Data Augmentations for Self-Supervised GNNs. - Zekarias T. Kefato; Sarunas Girdzijauskas; Hannes Stärk (CoRR, 2021)

Detecting Security Patches in Java Projects Using NLP Technology. - Andrea Stefanoni; Sarunas Girdzijauskas; Christina Jenkins; Zekarias T. Kefato; Licia Sbattella; Vincenzo Scotti 001; Emil Wåreus (ICNLSP, 2022)

SchemaWalk: Schema Aware Random Walks for Heterogeneous Graph Embedding. - Ahmed E. Samy; Lodovico Giaretta; Zekarias T. Kefato; Sarunas Girdzijauskas (WWW (Companion Volume), 2022)

Pedestrian trajectory prediction with convolutional neural networks. - Simone Zamboni; Zekarias Tilahun Kefato; Sarunas Girdzijauskas; Christoffer Norén; Laura Dal Col (Pattern Recognit., 2022)

Data-Driven Self-Supervised Graph Representation Learning. - Ahmed E. Samy; Zekarias T. Kefato; Sarunas Girdzijauskas (ECAI, 2023)

Graph2Feat: Inductive Link Prediction via Knowledge Distillation. - Ahmed E. Samy; Zekarias T. Kefato; Sarunas Girdzijauskas (WWW (Companion Volume), 2023)

Leap: Inductive Link Prediction via Learnable Topology Augmentation. - Ahmed E. Samy; Zekarias T. Kefato; Sarunas Girdzijauskas (LOD (1), 2024)

Leap: Inductive Link Prediction via Learnable TopologyAugmentation. - Ahmed E. Samy; Zekarias T. Kefato; Sarunas Girdzijauskas (CoRR, 2025)