A new discovery in physics could help engineers stabilize robots and structures without relying on complex sensors and ...

😭 GraphRAG is good and powerful, but the official implementation is difficult/painful to read or hack. 😊 This project provides a smaller, faster, cleaner GraphRAG, while remaining the core ...

This code is the official PyTorch implementation of our AAAI'26 paper: APN: Rethinking Irregular Time Series Forecasting: A Simple yet Effective Baseline. If you find this project helpful, please ...

Passive investing may be raising systemic risk via concentration, leverage, and ETF feedback loops. Click to read more.

Supreme Court ideology is shaped by issue area, docket, coalition, case selection, and the public visibility of votes. The ...

TEAM's steep six-month slide reflects AI disruption fears and margin pressure, but enterprise demand and valuation support a ...

Chalkbeat reports that while skipping college for jobs can lead to decent pay, opportunities for high earnings without a ...

Abstract: Link prediction on temporal networks aims to predict the future edges by modeling the dynamic evolution involved in the graph data. Previous methods relying on the node/edge attributes or ...

Abstract: Heterogeneous graphs (HGs) with multiple entity and relation types are common in real-world networks. Heterogeneous graph neural networks (HGNNs) have shown promise for learning HG ...