Maya Bechler-Speicher

According to our database1, Maya Bechler-Speicher authored at least 22 papers between 2019 and 2026.

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Timeline

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Bibliography

2026
Lost in Tokenization: Fundamental Trade-offs in Graph Tokenization for Transformers.
CoRR, May, 2026

Ex-GraphRAG: Interpretable Evidence Routing for Graph-Augmented LLMs.
CoRR, May, 2026

Improving LLM Predictions via Inter-Layer Structural Encoders.
CoRR, March, 2026

A Graph Meta-Network for Learning on Kolmogorov-Arnold Networks.
CoRR, February, 2026

Billion-Scale Graph Foundation Models.
CoRR, February, 2026

2025
GraphBench: Next-generation graph learning benchmarking.
CoRR, December, 2025

Graph Mixing Additive Networks.
CoRR, September, 2025

Interpretable Graph Learning Over Sets of Temporally-Sparse Data.
CoRR, May, 2025

Identifying Critical Phases for Disease Onset with Sparse Haematological Biomarkers.
CoRR, March, 2025

Depth-Width tradeoffs in Algorithmic Reasoning of Graph Tasks with Transformers.
CoRR, March, 2025

Towards Invariance to Node Identifiers in Graph Neural Networks.
CoRR, February, 2025

Spectral Graph Neural Networks are Incomplete on Graphs with a Simple Spectrum.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024
On the Utilization of Unique Node Identifiers in Graph Neural Networks.
CoRR, 2024

A General Recipe for Contractive Graph Neural Networks - Technical Report.
CoRR, 2024

The Intelligible and Effective Graph Neural Additive Networks.
CoRR, 2024

The Intelligible and Effective Graph Neural Additive Network.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Cayley Graph Propagation.
Proceedings of the Learning on Graphs Conference, 26-29 November 2024, Virtual., 2024

Graph Neural Networks Use Graphs When They Shouldn't.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

TREE-G: Decision Trees Contesting Graph Neural Networks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2022
Graph Trees with Attention.
CoRR, 2022

2019
A Crossing Lemma for Families of Jordan Curves with a Bounded Intersection Number.
CoRR, 2019


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