Baris Coskunuzer

Orcid: 0000-0001-7462-8819

According to our database1, Baris Coskunuzer authored at least 33 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Node2Graph: Diagnosing Task Unification in Graph Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2026

T3former: Temporal Graph Classification with Topological Machine Learning.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
SCNode: Spatial and Contextual Coordinates for Graph Representation Learning.
Trans. Mach. Learn. Res., 2025

PROXI: Challenging the GNNs for Link Prediction.
Trans. Mach. Learn. Res., 2025

Topo-CNN: Retinal Image Analysis with Topological Deep Learning.
J. Imaging Inform. Medicine, 2025

TopER: Topological Embeddings in Graph Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

MiNT: Multi-Network Transfer Benchmark for Temporal Graph Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Diagnosis of Blood Diseases and Disorders with Topological Deep Learning.
Proceedings of the Machine Learning in Medical Imaging - 16th International Workshop, 2025

Topology-Aware Deep Models for Skin Lesion Classification.
Proceedings of the Skin Image Analysis, and Computer-Aided Pelvic Imaging for Female Health, 2025

Chainlet Orbits: Topological Address Embedding for Blockchain.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Breast Cancer Detection with Topological Deep Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

CuMPerLay: Learning Cubical Multiparameter Persistence Vectorizations.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
ClassContrast: Bridging the Spatial and Contextual Gaps for Node Representations.
CoRR, 2024

Topological Methods in Machine Learning: A Tutorial for Practitioners.
CoRR, 2024

Towards Neural Scaling Laws for Foundation Models on Temporal Graphs.
CoRR, 2024

Topological Machine Learning for Low Data Medical Imaging.
Proceedings of the Machine Learning for Health, 2024

TopOC: Topological Deep Learning for Ovarian and Breast Cancer Diagnosis.
Proceedings of the Topology- and Graph-Informed Imaging Informatics, 2024

GraphPulse: Topological representations for temporal graph property prediction.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Chainlet Orbits: Topological Address Embedding for the Bitcoin Blockchain.
CoRR, 2023

ToFi-ML: Retinal Image Screening with Topological Machine Learning.
Proceedings of the Medical Image Understanding and Analysis - 27th Annual Conference, 2023

EMP: Effective Multidimensional Persistence for Graph Representation Learning.
Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

Topo-CXR: Chest X-ray TB and Pneumonia Screening with Topological Machine Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Breast Cancer Detection with Topological Machine Learning.
Proceedings of the 10th International Conference on Biomedical and Bioinformatics Engineering, 2023

3D MRI Brain Tumor Diagnosis with Topological Descriptors.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2023

Histopathological Cancer Detection with Topological Signatures.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Geometric Approaches to Persistent Homology.
SIAM J. Appl. Algebra Geom., March, 2022

ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Reduction Algorithms for Persistence Diagrams of Networks: CoralTDA and PrunIT.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

TAMP-S2GCNets: Coupling Time-Aware Multipersistence Knowledge Representation with Spatio-Supra Graph Convolutional Networks for Time-Series Forecasting.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Smart Vectorizations for Single and Multiparameter Persistence.
CoRR, 2021

Geometric Approaches on Persistent Homology.
CoRR, 2021

Topological Relational Learning on Graphs.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021


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