1. 09 Sep 2026

    Quantum-Inspired Graph Attention and Hybrid Deep-Learning Ensemble for Electric-Vehicle ...

    In addition, it incorporates contextual embeddings from a static GCN and enhances feature representations using gated residual blocks and multihead ...

    ascelibrary.org ↗
  2. 06 Sep 2026

    Residual-enhanced contrastive learning improves knowledge-aware - Bioengineer.org

    The model performs contrastive learning not only within a single graph—distinguishing node-level representations against perturbed or augmented views— ...

    bioengineer.org ↗
  3. 05 Sep 2026

    A Machine Learning-Based Framework for Discovering Huntington's Disease Stages

    ... learning framework based on dynamic graph representation learning to capture temporal relationships within and across patients from longitudinal ...

    ui.adsabs.harvard.edu ↗
  4. 03 Sep 2026

    PCIPG: A comprehensive framework for protein complex identification based ... - Research journals

    Third, representation-learning or matrix-factorization-based methods ... Inductive representation learning on large graphs. Adv Neural Inform ...

    journals.plos.org ↗
  5. 03 Sep 2026

    Graph Transformer Puts Rare Cell States on the Map in Single-Cell Data - Bioengineer.org

    ... learning low-dimensional representations of both cells and genes. This ... representation is faithful to the underlying expression data and ...

    bioengineer.org ↗
  6. 03 Sep 2026

    Relation-aware multimodal knowledge graph learning for drug–drug interaction prediction

    ... demonstrate that combining multimodal drug representation learning with relation-aware knowledge graph modeling is effective for DDI prediction.

    www.nature.com ↗
  7. 31 Aug 2026

    SemanticST: A Scalable Multi‐Contextual Graph Learning Framework for Uncovering ...

    In the second step, SemanticST utilizes the learned semantic graphs and the gene expression matrix to learn the latent representation of the input ST ...

    advanced.onlinelibrary.wiley.com ↗
  8. 28 Aug 2026

    Modeling and optimizing trust-mediated influence in temporal heterogeneous networks | PLOS One

    In: ICML Workshop on Graph Representation Learning. 2020. 9. Chen W ... Dyrep: Learning representations over dynamic graphs. In: 2019. 17 ...

    journals.plos.org ↗
  9. 27 Aug 2026

    Learning Developer‐Code Contribution Relationship to Improve Code Readability Assessment

    We first build a heterogeneous graph, where nodes represent developers and code files, and weighted edges quantify developers' contribution ratios. On ...

    onlinelibrary.wiley.com ↗
  10. 27 Aug 2026

    AI Optimizes Air Defense Scheduling with Hybrid Graph Learning and - Bioengineer.org

    ... representation. In this case, nodes can represent targets and ... They show that a particular combination of graph representation learning ...

    bioengineer.org ↗
  11. 25 Aug 2026

    Navigating the Materials Space with Machine-Learning-Generated Electronic Fingerprints

    Lenssen, Fast graph representation learning with PyTorch geometric, arXiv:1903.02428. G. Kresse and J. Hafner, Ab initio molecular dynamics for ...

    journals.aps.org ↗
  12. 13 Aug 2026

    Mechanist: AI as a Scientific Instrument | StartupHub.ai

    This system is built upon a foundation of extensive knowledge, integrating an interpretability-focused knowledge graph comprising approximately 13,000 ...

    www.startuphub.ai ↗
Sources

Where this comes from

Artificial Intelligence — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1990879549…

401 items Polled 22 Sep, 09:12 UTC 200

Agentic AI — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/4849751788…

401 items Polled 22 Sep, 09:12 UTC 200

AI Agents — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/4849751788…

401 items Polled 22 Sep, 09:12 UTC 200

Data Science — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/4836803184…

401 items Polled 22 Sep, 09:12 UTC 200

Large Language Model — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/8510459957…

401 items Polled 22 Sep, 09:12 UTC 200

Machine Learning — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/4836803184…

401 items Polled 22 Sep, 09:12 UTC 200

Deep Learning — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1643871049…

401 items Polled 22 Sep, 09:12 UTC 200

LLMs Alignment — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/5121641697…

45 items Polled 22 Sep, 09:12 UTC 200

AI Alignment — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1764885284…

401 items Polled 22 Sep, 09:12 UTC 200

Representation Learning — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1758013403…

146 items Polled 22 Sep, 09:12 UTC 200

Reinforcement Learning — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1720175169…

401 items Polled 22 Sep, 09:12 UTC 200

Generative AI — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/7811591585…

401 items Polled 22 Sep, 09:12 UTC 200

Multimodal AI — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/9568555102…

401 items Polled 22 Sep, 09:12 UTC 200

Mechanistic Interpretability — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/8541059511…

33 items Polled 22 Sep, 09:12 UTC 200

RLHF — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/7811591585…

31 items Polled 22 Sep, 09:12 UTC 200

Feeds are configured through the LEARN_FEEDS environment variable, so new sources can be added without a code change. Each poll sends the stored ETag and Last-Modified headers, so an unchanged feed answers 304 and costs the publisher nothing.