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Xiaoxin He Profile
Xiaoxin He

@he_xiaoxin

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PhD student at National University of Singapore @NUSingapore | Graphs and LLMs | Google PhD Fellowship 2024

Joined October 2021
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@he_xiaoxin
Xiaoxin He
23 days
Check out the paper here:
@__YuWang__
Yu Wang
23 days
(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 โ€” AI systems that go beyond personal assistants to lifespan cognitive systems.
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@he_xiaoxin
Xiaoxin He
2 months
I will be presenting G-Retriever tomorrow, Thu 12 Dec 4:30 p.m. PST โ€” 7:30 p.m. PST, at East Exhibit Hall A-C #4607.
@he_xiaoxin
Xiaoxin He
11 months
๐‘ช๐’‰๐’‚๐’• ๐’˜๐’Š๐’•๐’‰ ๐’€๐’๐’–๐’“ ๐‘ฎ๐’“๐’‚๐’‘๐’‰ ๐Ÿ—ฃ๏ธ G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering ArXiv: GitHub: BlogPost:
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@he_xiaoxin
Xiaoxin He
3 months
RT @xbresson: I will give a talk at the @LogConference on "Integrating Graph Neural Networks and Large Language Models". The conference isโ€ฆ
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@he_xiaoxin
Xiaoxin He
3 months
@guanzhi_wang Thank you, guanzhi!
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@he_xiaoxin
Xiaoxin He
3 months
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@he_xiaoxin
Xiaoxin He
3 months
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@he_xiaoxin
Xiaoxin He
3 months
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@he_xiaoxin
Xiaoxin He
5 months
Awesome to see that PyG now supports G-Retriever!๐ŸŽ‰ Excited to try out the new features in PyG 2.6!
@jure
Jure Leskovec
5 months
๐Ÿš€ PyG 2.6 is here: GNNs + LLMs, PyTorch 2.4 and more! ๐ŸŽ‰ Weโ€™re excited to announce the release of PyG 2.6.0, packed with incredible updates for graph learning! Hereโ€™s a quick rundown of whatโ€™s new: โœจ 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! ๐Ÿš€ Check out the full changelog and get started with PyG 2.6 today!
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@he_xiaoxin
Xiaoxin He
7 months
RT @LogConference: We have seen great success in LoG 2023 local meetups in Stanford, NY, Munich, Amsterdam, Shanghai, Lausanne, Paris, Tromโ€ฆ
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@he_xiaoxin
Xiaoxin He
7 months
RT @xbresson: Join the online LoGG presentation by @he_xiaoxin, hosted by @HannesStaerk @dom_beaini, on integrating LLMs and GNNs w/ G-Retrโ€ฆ
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@he_xiaoxin
Xiaoxin He
7 months
RT @LogConference: Our new call for #LoG2024 local meetups is out! This "network" of local mini-conferences aims to bring together attendeeโ€ฆ
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@he_xiaoxin
Xiaoxin He
8 months
RT @xbresson: Two exciting updates for the Learning on Graphs Conference! 1) Virtual conference from Nov 26th 2024
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@he_xiaoxin
Xiaoxin He
9 months
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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@he_xiaoxin
Xiaoxin He
9 months
Please visit our poster today (May 9), from 4:30 to 6:30 PM at Hall B, #89. See you there!
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@xbresson
Xavier Bresson
2 years
New paper w/ @he_xiaoxin, T. Laurent, @BryanHooi1 "Explanations as Features: LLM-Based Features for Text-Attributed Graphs" ArXiv: GitHub:
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@he_xiaoxin
Xiaoxin He
11 months
(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:
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