From the 2 of 10 linked papers with an AI index.
10 papers
Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors
Neelam Akula, Surbhi Kumar, Murat Kantarcioglu +1
The paper defines a clean evaluation protocol for transferring knowledge between node classification and link prediction on the same graph, shows that transfer is directionally dep…
TopoFormer: Topology Meets Attention for Graph Learning
Md Joshem Uddin, Astrit Tola, Cuneyt Gurcan Akcora +1
The paper introduces TopoFormer, a framework that converts graph topology into ordered token sequences via a Topo-Scan module and processes them with a Transformer to obtain effici…
Existence of Minimal Surfaces in Infinite Volume Hyperbolic 3-manifolds
Baris Coskunuzer, Zheng Huang, Ben Lowe +1
The existence of embedded minimal surfaces in non-compact 3-manifolds remains a largely unresolved and challenging problem in geometry. In this paper, we address several open cases…
Topological Engine Monitor: Persistent Homology-Based Fault Detection in Finite-Time Quantum Engines
Miraç Kerem Maden, Asghar Ullah, Baris Coskunuzer +1
The reliable operation of finite-time quantum heat engines is fundamentally limited by control imperfections that induce nonadiabatic phase accumulation and quantum friction, degra…
SCNode: Spatial and Contextual Coordinates for Graph Representation Learning
Md Joshem Uddin, Astrit Tola, Varin Sikand +2
Effective node representation lies at the heart of Graph Neural Networks (GNNs), as it directly impacts their ability to perform downstream tasks such as node classification and li…
TopER: Topological Embeddings in Graph Representation Learning
Astrit Tola, Funmilola Mary Taiwo, Cuneyt Gurcan Akcora +1
Graph embeddings play a critical role in graph representation learning, allowing machine learning models to explore and interpret graph-structured data. However, existing methods o…