HackerNoon

The Race to Build AI’s Context Layer Is Really About Meaning

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?
GitHub

TorchKGE: Knowledge Graph embedding in Python and Pytorch.

If you find this code useful in your research, please consider citing our paper (presented at IWKG-KDD 2020): @inproceedings{arm2020torchkge, title={TorchKGE: Knowledge Graph Embedding in Python and ...
InfoQ

Meta Details GEM Ads Model Using LLM-Scale Training, Hybrid Parallelism, and Knowledge Transfer

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Erik Steiger discusses the operational pain ...
GitHub

Identifying compound-protein interactions with knowledge graph embedding of perturbation transcriptomics

This repo contains a PyTorch implementation for PertKGE, which is model proposed in our paper "Identifying compound-protein interactions with knowledge graph embedding of perturbation transcriptomics" ...
InfoQ

Bridging Modalities: Multimodal RAG for Advanced Information Retrieval

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this eMag, we try to establish agentic AI ...
C&EN

Molecular Graph Generation by Decomposition and Reassembling

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Designing molecular structures with desired chemical properties is an essential task ...