Xiaoxin He retweetledi
Boosting Q&A Accuracy with GraphRAG powered by our G-Retriever architecture.
@he_xiaoxin
developer.nvidia.com/blog/boosting-…
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Xiaoxin He
41 posts
Xiaoxin He
@he_xiaoxin
PhD student at National University of Singapore @NUSingapore | Graphs and LLMs | Google PhD Fellowship 2024
Katılım Ekim 2021
127 Takip Edilen755 Takipçiler
Check out the paper here: arxiv.org/abs/2409.13265
Yu Wang@__YuWang__
(1/4) Excited to share that our position paper "Towards LifeSpan Cognitive Systems" has been accepted to TMLR! As "agents" dominate the AI landscape in 2025, we push the boundaries by envisioning LSCS — AI systems that go beyond personal assistants to lifespan cognitive systems.
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I will be presenting G-Retriever tomorrow, Thu 12 Dec 4:30 p.m. PST — 7:30 p.m. PST, at East Exhibit Hall A-C #4607.
neurips.cc/virtual/2024/p…
Xiaoxin He@he_xiaoxin
𝑪𝒉𝒂𝒕 𝒘𝒊𝒕𝒉 𝒀𝒐𝒖𝒓 𝑮𝒓𝒂𝒑𝒉 🗣️ G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering ArXiv: arxiv.org/abs/2402.07630 GitHub: github.com/XiaoxinHe/G-Re… BlogPost: @xxhe/graph-retrieval-augmented-generation-rag-beb19dc30424" target="_blank" rel="nofollow noopener">medium.com/@xxhe/graph-re…
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Xiaoxin He retweetledi
I will give a talk at the @LogConference on "Integrating Graph Neural Networks and Large Language Models".
The conference is virtual, free to attend, live-streamed, and recorded.
logconference.org
Hope to see you there!
Learning on Graphs Conference 2025@LogConference
See you in LoG 2024!
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Thrilled to announce that I've been awarded the 𝗚𝗼𝗼𝗴𝗹𝗲 𝗣𝗵𝗗 𝗙𝗲𝗹𝗹𝗼𝘄𝘀𝗵𝗶𝗽! Huge thanks to my advisors, @BryanHooi1 and @xbresson, for their incredible support and guidance! Grateful to @GoogleAI for this valuable honor! 🎉🎉
research.google/programs-and-e…
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Awesome to see that PyG now supports G-Retriever!🎉
arxiv.org/pdf/2402.07630
Excited to try out the new features in PyG 2.6!
Jure Leskovec@jure
🚀 PyG 2.6 is here: GNNs + LLMs, PyTorch 2.4 and more! 🎉 We’re excited to announce the release of PyG 2.6.0, packed with incredible updates for graph learning! Here’s a quick rundown of what’s new: ✨ Key Highlights: -- GNNs + LLMs: New models like GRetriever that co-train LLaMA2 with GNNs for enhanced knowledge graph tasks. -- PyTorch 2.4 Compatibility: Full support for PyTorch 2.4 across platforms! -- Efficient Index Tensor Representation: Simplifying 1D indices with the new Index class for seamless interactions in GNN message passing. -- Plus, there are new tutorials, multi-GPU examples, and various improvements to elevate your GNN workflows! 🚀 Check out the full changelog and get started with PyG 2.6 today! github.com/pyg-team/pytor…
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Xiaoxin He retweetledi
We have seen great success in LoG 2023 local meetups in Stanford, NY, Munich, Amsterdam, Shanghai, Lausanne, Paris, Tromso, Madrid, Trento, Oxford, and Montreal. With over 700 attendees in total, the memories from LoG 2023 have been incredible!
Learning on Graphs Conference 2025@LogConference
Our new call for #LoG2024 local meetups is out! This "network" of local mini-conferences aims to bring together attendees belonging to the same geographic area, fostering discussions and collaborations.If you are interested in hosting one, please read this logconference.org/call-for-meetu…
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Xiaoxin He retweetledi
Join the online LoGG presentation by @he_xiaoxin, hosted by @HannesStaerk @dom_beaini, on integrating LLMs and GNNs w/ G-Retriever.
When: Mon Jul 15 11am ET
Zoom: zoom.us/j/5775722530?p…
Blog: @xxhe/graph-retrieval-augmented-generation-rag-beb19dc30424" target="_blank" rel="nofollow noopener">medium.com/@xxhe/graph-re…
ArXiv: arxiv.org/pdf/2402.07630…
GitHub: github.com/XiaoxinHe/G-Re…
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Xiaoxin He retweetledi
Our new call for #LoG2024 local meetups is out! This "network" of local mini-conferences aims to bring together attendees belonging to the same geographic area, fostering discussions and collaborations.If you are interested in hosting one, please read this logconference.org/call-for-meetu…
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Xiaoxin He retweetledi
Two exciting updates for the Learning on Graphs Conference!
1) Virtual conference from Nov 26th 2024
x.com/LogConference/…
2) Join the first in-person conference from Sept 28-30 2025
x.com/miniapeur/stat…
Don't miss out on the opportunity to receive high-quality reviews!
Learning on Graphs Conference 2025@LogConference
LoG Conference 2024 is back !!!👉 We are looking for more reviewers! We have a special emphasis on review quality via monetary rewards, a more focused conference topic, and low reviewer load (max 3 papers). But for this we need your help! Sign up here: forms.gle/Nuff4ndVZDFTis…!
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The Graph Foundation Models Workshop @TheWebConf was a great success! We would like to extend a big thank you to our speakers, panelists, advisory board, organizers, and audience for making this event amazing!
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Please visit our poster today (May 9), from 4:30 to 6:30 PM at Hall B, #89. See you there!
Xavier Bresson@xbresson
New paper w/ @he_xiaoxin, T. Laurent, @BryanHooi1 "Explanations as Features: LLM-Based Features for Text-Attributed Graphs" ArXiv: arxiv.org/pdf/2305.19523… GitHub: github.com/XiaoxinHe/TAPE
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(6/n) If you are interested in related topics such as Graph RAG and Graph Prompt Tuning, please check out the 'Related Work and Discussion' section in our blog post: @xxhe/graph-retrieval-augmented-generation-rag-beb19dc30424#626a" target="_blank" rel="nofollow noopener">medium.com/@xxhe/graph-re…
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(5/n) We evaluate 𝑮-𝑹𝒆𝒕𝒓𝒊𝒆𝒗𝒆𝒓 on our GraphQA benchmark, and consider three model configurations: 1) Inference-Only; 2) Frozen LLM + Prompt Tuning; and 3) Tuned LLM.
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𝑪𝒉𝒂𝒕 𝒘𝒊𝒕𝒉 𝒀𝒐𝒖𝒓 𝑮𝒓𝒂𝒑𝒉 🗣️
G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
ArXiv: arxiv.org/abs/2402.07630
GitHub: github.com/XiaoxinHe/G-Re…
BlogPost: @xxhe/graph-retrieval-augmented-generation-rag-beb19dc30424" target="_blank" rel="nofollow noopener">medium.com/@xxhe/graph-re…
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