Xiaoxin He
@he_xiaoxin
Followers
766
Following
394
Media
8
Statuses
41
PhD student at National University of Singapore @NUSingapore | Graphs and LLMs | Google PhD Fellowship 2024
Joined October 2021
RT @xbresson: Boosting Q&A Accuracy with GraphRAG powered by our G-Retriever architecture. @he_xiaoxin .
developer.nvidia.com
Large language models (LLMs) often struggle with accuracy when handling domain-specific questions, especially those requiring multi-hop reasoning or access to proprietary data.
0
4
0
Check out the paper here:
arxiv.org
Building a human-like system that continuously interacts with complex environments -- whether simulated digital worlds or human society -- presents several key challenges. Central to this is...
(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.
0
0
12
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.
๐ช๐๐๐ ๐๐๐๐ ๐๐๐๐ ๐ฎ๐๐๐๐ ๐ฃ๏ธ. G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering. ArXiv: GitHub: BlogPost:
1
0
19
RT @xbresson: I will give a talk at the @LogConference on "Integrating Graph Neural Networks and Large Language Models". The conference isโฆ.
0
44
0
Thrilled to announce that I've been awarded the ๐๐ผ๐ผ๐ด๐น๐ฒ ๐ฃ๐ต๐ ๐๐ฒ๐น๐น๐ผ๐๐๐ต๐ถ๐ฝ! Huge thanks to my advisors, @BryanHooi1 and @xbresson, for their incredible support and guidance! Grateful to @GoogleAI for this valuable honor! ๐๐.
research.google
13
6
335
Awesome to see that PyG now supports G-Retriever!๐.Excited to try out the new features in PyG 2.6!.
๐ PyG 2.6 is here: GNNs + LLMs, PyTorch 2.4 and more! ๐.Weโre excited to announce the release of PyG 2.6.0, packed with incredible updates for graph learning! .Hereโs a quick rundown of whatโs new:.โจ Key Highlights:.-- GNNs + LLMs: New models like GRetriever that co-train
1
5
42
RT @LogConference: We have seen great success in LoG 2023 local meetups in Stanford, NY, Munich, Amsterdam, Shanghai, Lausanne, Paris, Tromโฆ.
0
7
0
RT @xbresson: Join the online LoGG presentation by @he_xiaoxin, hosted by @HannesStaerk @dom_beaini, on integrating LLMs and GNNs w/ G-Retrโฆ.
0
14
0
RT @LogConference: Our new call for #LoG2024 local meetups is out! This "network" of local mini-conferences aims to bring together attendeeโฆ.
logconference.org
0
12
0
RT @xbresson: Two exciting updates for the Learning on Graphs Conference!. 1) Virtual conference from Nov 26th 2024..
0
22
0
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!
0
5
45
Please visit our poster today (May 9), from 4:30 to 6:30 PM at Hall B, #89. See you there!
New paper w/ @he_xiaoxin, T. Laurent, @BryanHooi1 "Explanations as Features: LLM-Based Features for Text-Attributed Graphs".ArXiv: GitHub:
0
3
17
(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:
medium.com
G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
0
1
8
(5/n) We evaluate ๐ฎ-๐น๐๐๐๐๐๐๐๐ on our GraphQA benchmark, and consider three model configurations: 1) Inference-Only; 2) Frozen LLM + Prompt Tuning; and 3) Tuned LLM.
1
0
4
(4/n) We also introduced a ๐ฎ๐๐๐๐๐ธ๐จ ๐๐๐๐๐๐๐๐๐, which targets real-world graph applications such asย common sense reasoning, scene understanding, and knowledge graph reasoning.
1
0
3
(3/n) ๐ฎ-๐น๐๐๐๐๐๐๐๐ integrates the strengths of GNNs, LLMs, and Graph RAG.
1
0
3
(2/n) Imagine being able toย โchat with your graphโ. We introduceย ๐ฎ-๐น๐๐๐๐๐๐๐๐, a flexible graph question-answering framework that makes this possible!
1
1
4
๐ช๐๐๐ ๐๐๐๐ ๐๐๐๐ ๐ฎ๐๐๐๐ ๐ฃ๏ธ. G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering. ArXiv: GitHub: BlogPost:
4
37
194
Our GitHub repo Awesome-Graph-LLM: has received 1k+ stars! ๐A huge thank you to everyone who has supported and contributed. Let's keep pushing the boundaries of Awesome-Graph-LLM together!
3
15
94
RT @xbresson: Register for the workshop on LLMs, GNNs and Foundation Models -- it will be exciting! .@TheWebConf #WebConference2024๐.
0
4
0