Graph Neural Networks

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Graph Neural Networks for Predicting Solvability of Finite Groups

 🗄️Vector Databases  Content type: Academic
arxiv.org·

Probabilistic Salary Prediction with Graph Attention Networks and a Mixture Density Network

 📐Embeddings  Content type: Academic
arxiv.org·
Less-relevant results

Up-to-Date Evidence Reviews of Health and Longevity Interventions

 🔍RAG
evipedia.ai··Hacker News

A Topological Characterization of Graph Neural Networks via Stochastic Block Model Embeddings on the n-Sphere

 🗄️Vector Databases  Content type: Academic
arxiv.org·

Predicting P-glycoprotein Substrate Status Using a Pretrained Graph Neural Network: A TDC Benchmark Study

 Inference  Content type: Academic
biorxiv.org·

Beyond Homophily: Towards Generalized Graph Reconstruction Attack and Defense

 🗄️Vector Databases  Content type: Academic
arxiv.org·

Neural network decoder confidence as a learned proxy for the logical gap

 Inference  Content type: Academic
arxiv.org·

Win a Free Wedding at Historic Hudson Valley Estate For Couple With the Best Story

 🔍RAG
goodnewsnetwork.org·

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs

 📐Embeddings  Content type: Academic
arxiv.org·

sparckix/ztare: Zero-Trust Adversarial Reasoning Engine - autoresearch inspired kernel to create and validate new science.

 🕸️Knowledge Graphs  Content type: Code
github.com··Hacker News

Graph Neural Networks for Fast Operator Selection in Adaptive VQE

 🎯Reinforcement Learning  Content type: Academic
arxiv.org·

The Confidence Trap: Calibration Attacks for Graph Neural Networks

 🗄️Vector Databases  Content type: Academic
arxiv.org·

Outage Detection in Self-Healing Smart Grids Using Reinforcement Learning with Spectral Graph Neural Networks

 🎯Reinforcement Learning  Content type: Academic
arxiv.org·

PAC-Bayesian Adversarially Robust Generalization for Message Passing Graph Neural Networks: A Sensitivity Analysis

 🗄️Vector Databases  Content type: Academic
arxiv.org·

Non-linear mechanical field reconstruction coupling recurrent neural networks with physics-informed graph neural networks

 💾Agent Memory  Content type: Academic
arxiv.org·

TAROT: Task-Adaptive Refinement of LLM-prior Graphs for Few-shot Tabular Learning

 🧠LLMs  Content type: Academic
arxiv.org·

Vessel Traffic Flow Prediction on Sparse Data via Spatio-Temporal Graph Neural Networks with a Learnable Tweedie Head

 Inference  Content type: Academic
arxiv.org·

Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion

 🕸️Knowledge Graphs  Content type: Academic
arxiv.org·

When Design Rules Break: Benchmark Composition Determines Whether Label Informativeness Predicts GNN Aggregator Choice

 🔬AI Research  Content type: Academic
arxiv.org·

LLMs+Graphs: Toward Graph-Native, Synergistic AI Systems

 🧠Reasoning Models  Content type: Academic
arxiv.org·

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