Graph Neural Networks

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Graph Neural Network leveraging Higher-order Class Label Connectivity for Heterophilous Graphs

 📇Vector Indexing  Content type: Academic
arxiv.org·
Less-relevant results

Revealing the Long‐Range Coupling for Multi‐Dimensional Metasurface Multiplexer

 Quantization

PathTIGR: A pathway topology-informed graph representation learning framework for immunotherapy response prediction

 📇Vector Indexing
science.org·

ORIGAMI: Orientation-Aware Graph Neural Network for Assessing Multimeric Interfaces of Protein Complex Structures

 📐Vector Search  Content type: Academic
biorxiv.org·

Graph Neural Networks 101: Your Tabular Model Cannot See That Two Customers Share a Supplier

 📐Vector Search  Content type: Blog
medium.com
·

Stopping the Next Fugitive: How AI and Blockchain Form India’s New Financial Watchdog

 🛡️AI Safety  Content type: Blog
medium.com·

Database as a Graph for Relational Deep Learning

 📊Vector DBs

GRAFT: Graphlet-Triggered Backdoor Attack on GNN-Based Hardware Security Systems

 Quantization  Content type: Academic
arxiv.org·

Mangrove Loss Worldwide Is Now Reversing—with More, Denser Forests Than 20 Years Ago

 🔍RAG
goodnewsnetwork.org·

RelationalAI closes the AI value gap with new agentic decision intelligence capabilities for the Snowflake AI Data Cloud

 🔓Open Source AI
relational.ai·

Comp.compilers: Paper: MileStone: A Multi-Objective Compiler Phase Ordering Framework for Graph-based IR-Level Optimization

 🎯LLM Finetuning
compilers.iecc.com·

Crypto Promoters Say Blockchain Is the Future of AI. Researchers Aren’t Buying It

 🤖AI Agents
gizmodo.com·

Graph Neural Networks for Predicting Solvability of Finite Groups

 📐Vector Search  Content type: Academic
arxiv.org·

Single-cell gene regulatory network reconstruction and key regulator identification using a dual-channel fusion graph convolutional network

 💻Local AI  Content type: Academic
biorxiv.org·

a place for friends of OpenJDK

 🔓Open Source AI
foojay.io·

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

 ⚙️Transformers  Content type: Academic
arxiv.org·

Scalable Boltzmann generators for equilibrium sampling of large-scale materials

 Continuous Batching  Content type: Academic
nature.com·

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

 🤖LLMs  Content type: Academic
arxiv.org·

Beyond Homophily: Towards Generalized Graph Reconstruction Attack and Defense

 📇Vector Indexing  Content type: Academic
arxiv.org·

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

 📊Retrieval Evaluation
evipedia.ai··Hacker News

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