내가 좋아할 만한 콘텐츠
Coming to #KDD2024? Mark your day by attending our tutorial "Graph Machine Learning Meets Multi-table Relational Data" on the first afternoon of the conference! @kdd_news @AmazonScience Tutorial details: github.com/dglai/GML-on-M…
🎉 DiskGNN @SIGMODConf : Trained 300M+ node graphs (TB-scale) with just 1 GPU & <100GB RAM! Zero-overhead GPU/CPU/SSD pooling made it possible 🚀
DGL 2.1 with GPU-accelerated GraphBolt delivers blazing-fast data loading & stays flexible for customization. Plus, it works with PyTorch Geometric (PyG)! 👉Check out the blog for the release summary: dgl.ai/release/2024/0… 🧠Major Contributor: @mfbalin #DGL #GML
Say goodbye to data loading bottlenecks! DGL 2.0 introduces GraphBolt, a revolutionary data pipeline framework that supercharges your GNN training. 👉Check out the blog for the release summary: dgl.ai/release/2024/0…
Accelerating GNN Training on Intel CPU with DGL through fused sampling & hybrid partitioning, which can give you up to a 2x speedup! 🚀🧠 Awesome work done by Hesham (linkedin.com/in/hesham-most…) and Adam (linkedin.com/in/adam-grabow…). @IntelAI @IntelBusiness community.intel.com/t5/Blogs/Tech-…
Amazon has publicly released RefChecker, a combination tool and dataset that detects hallucinations in #LLMs. To characterize factual claims, RefChecker uses knowledge triplets rather than natural language, enabling finer-grained judgments. #GenerativeAI amazon.science/blog/new-tool-…
Will give a talk tomorrow Sunday 10am at the workshop Graph Learning Benchmarks @GLB_Workshop #KDD2023 w/ @YizhouSun, @jimeng, Z. Da @DGLGraph, A. Wang deep-learning-graphs.bitbucket.io/dlg-kdd23 Thanks to the organizers! Also glad to meet and chat about research during the conference 😀
Our workshop is happening from 8am to 5pm local time tomorrow at #KDD2023! Please come to the room Grand B for our workshop. Look forward to seeing you soon! The detailed schedule is online: graph-learning-benchmarks.github.io/glb2023
Da Zheng @DGLGraph "Graph machine learning for industry applications with DGL and GraphStorm" #KDD2023
A new offering from the team! Announcing GraphStorm, a low-code framework for enterprise-level graph machine learning. See how it empowers GML in business 👇aws.amazon.com/blogs/machine-…
If new with graph learning, here is a warm-up notebook to learn to use graphs: • Build graph w/ features and compute basic message-passing function w/ @DGLGraph • Convert into graph formats w/ DGL, NetworkX, dense/sparse PyTorch • Visualize graph Code: github.com/xbresson/CS620…
Ever wanted to code Graph Transformer (GT) from *scratch* using a few lines of code with @PyTorch and @DGLGraph? :) See below my course material Slides: dropbox.com/s/i9coadk7fgzf… GitHub: github.com/xbresson/CS620… Paper: arxiv.org/pdf/2012.09699… Coding GT step-by-step 👇
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