1 citations · 2 across the 6 of their papers we have counts for
4 papers · 1 filter
GNN-CB: A Graph Neural Network Competition Benchmark for Human and LLM Evaluation
Murad Hossen, Tasneem Selim, Gurur Gamgam +22
Large language models (LLMs) have demonstrated strong performance on coding and reasoning benchmarks; however, their ability to solve graph-structured machine learning problems rem…
Evidence of a Cognitive Shift in AI Education: How Students Are Rethinking Human Intelligence?
Islem Rekik
Perceptions of intelligence shape how learners evaluate and rely on artificial intelligence (AI) systems. Despite rapid advances in AI capabilities, the impact of sustained exposur…
HGNet: Scalable Foundation Model for Automated Knowledge Graph Generation from Scientific Literature
Devvrat Joshi, Islem Rekik
Automated knowledge graph (KG) construction is essential for navigating the rapidly expanding body of scientific literature. However, existing approaches struggle to recognize long…
Reservoir-Based Graph Convolutional Networks
Mayssa Soussia, Gita Ayu Salsabila, Mohamed Ali Mahjoub +1
Message passing is a core mechanism in Graph Neural Networks (GNNs), enabling the iterative update of node embeddings by aggregating information from neighboring nodes. Graph Convo…