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#graphlearning search results

jure's profile picture. Professor of #computerscience @Stanford; Co-founder at https://t.co/hhm1j5wP0f #machinelearning #graphs.
Jure Leskovec
@jure
Oct 4

Join us for the Stanford Graph Learning Workshop 2025! 🗓️Oct 14, 2025 📍Stanford University 🧠Topics: Agents, RFMs & LLM Inference. Save your spot to explore the future of #AI, #LLMs and #GraphLearning with leading experts. Register now: snap.stanford.edu/graphlearning-…

jure's tweet image. Join us for the Stanford Graph Learning Workshop 2025! 🗓️Oct 14, 2025 📍Stanford University 🧠Topics: Agents, RFMs & LLM Inference. Save your spot to explore the future of #AI, #LLMs and #GraphLearning with leading experts. Register now: snap.stanford.edu/graphlearning-…
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RoyShubhajit's profile picture. PhD Scholar at IIT Gandhinagar
Shubhajit Roy
 @RoyShubhajit
Sep 23

🚀 Excited to share our paper got accepted at DiffCoAlg@NeurIPS 2025 @diffcoalg !🎉 🙏 Thanks to @shrutimoy, Binita Maity, Anant Kumar, @adagu & @cse_iitgn . #NeurIPS2025 #GNN #GraphLearning #AIResearch

RoyShubhajit's tweet image. 🚀 Excited to share our paper got accepted at DiffCoAlg@NeurIPS 2025 @diffcoalg !🎉 🙏 Thanks to @shrutimoy, Binita Maity, Anant Kumar, @adagu & @cse_iitgn . #NeurIPS2025 #GNN #GraphLearning #AIResearch
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danilo_danese's profile picture. Exploring High Dimensional Low Sample Size data
Danilo Danese
 @danilo_danese
Oct 16, 2024

@scne just presented their latest work at @ACMRecSys #GraphLearning session. This work, co-authored by @dmalitesta @alberto_mancino @walteranelli @TommasoDiNoia Explores the relationship between topological datasets characteristics and GNN based recommender systems.

danilo_danese's tweet image. @scne just presented their latest work at @ACMRecSys #GraphLearning session. This work, co-authored by @dmalitesta @alberto_mancino @walteranelli @TommasoDiNoia Explores the relationship between topological datasets characteristics and GNN based recommender systems.
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Kumo_ai_team's profile picture. Build AI models to get predictions and embeddings from your relational data — without feature engineering.
Kumo
 @Kumo_ai_team
Jan 12, 2024

Get news and updates from Kumo AI. We're bringing the most powerful #GraphLearning approaches, proven in research, to the enterprise. hubs.ly/Q02g3LXK0

Kumo_ai_team's tweet image. Get news and updates from Kumo AI. We're bringing the most powerful #GraphLearning approaches, proven in research, to the enterprise. hubs.ly/Q02g3LXK0
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LBRCE1's profile picture. LBRCE is an Autonomous Institution. This is an Official Twitter Handle of LBRCE, managed by Information Cell. Note: RTs (Retweets) are not endorsements.
LBRCE (AUTONOMOUS)
 @LBRCE1
Dec 21, 2023

Highlights of today's Preconference Tutorials for #iccins2023 #mylavaram Dr.Tushar Semwal and Mr.Nahar Singh delivered the talks on #graphlearning #generativeai The Tutorials Chair and the committee members felicitated the resource persons.

LBRCE1's tweet image. Highlights of today's Preconference Tutorials for #iccins2023 #mylavaram Dr.Tushar Semwal and Mr.Nahar Singh delivered the talks on #graphlearning #generativeai The Tutorials Chair and the committee members felicitated the resource persons.
LBRCE1's tweet image. Highlights of today's Preconference Tutorials for #iccins2023 #mylavaram Dr.Tushar Semwal and Mr.Nahar Singh delivered the talks on #graphlearning #generativeai The Tutorials Chair and the committee members felicitated the resource persons.
LBRCE1's tweet image. Highlights of today's Preconference Tutorials for #iccins2023 #mylavaram Dr.Tushar Semwal and Mr.Nahar Singh delivered the talks on #graphlearning #generativeai The Tutorials Chair and the committee members felicitated the resource persons.
LBRCE1's tweet image. Highlights of today's Preconference Tutorials for #iccins2023 #mylavaram Dr.Tushar Semwal and Mr.Nahar Singh delivered the talks on #graphlearning #generativeai The Tutorials Chair and the committee members felicitated the resource persons.
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MikelEcheve's profile picture. 🚀 Full-Stack & AI Dev — GPT/ML Automation 🇪🇸 → 🇨🇭 Relocate | 📬 DM open | Weekly #AI threads 🔗
Mikel
 @MikelEcheve
Aug 5

🚨 BREAKTHROUGH in Graph Learning! What if each node in your graph could plan, reason, and act like a mini-agent—powered by an LLM? 🤯 That’s exactly what ReaGAN does. And it might just outsmart classic GNNs. Let me explain 🧵👇 #AI #GraphLearning #LLM #MachineLearning

MikelEcheve's tweet image. 🚨 BREAKTHROUGH in Graph Learning! What if each node in your graph could plan, reason, and act like a mini-agent—powered by an LLM? 🤯 That’s exactly what ReaGAN does. And it might just outsmart classic GNNs. Let me explain 🧵👇 #AI #GraphLearning #LLM #MachineLearning
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theaipie's profile picture. Follow me to stay up to date with AI news, updates and tips.
The AI Pie
 @theaipie
Jul 14

GDGB: The first benchmark for generative dynamic text-attributed graph learning, offering a foundation for advancing research in DyTAG generation. #AI #GraphLearning

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jure's profile picture. Professor of #computerscience @Stanford; Co-founder at https://t.co/hhm1j5wP0f #machinelearning #graphs.
Jure Leskovec
@jure
Jul 7, 2023

A really good webinar on how effective #GraphLearning can be for your customer growth initiatives: #LTV #Churn #CustomerRetention hubs.ly/Q01X21pB0

jure's tweet image. A really good webinar on how effective #GraphLearning can be for your customer growth initiatives: #LTV #Churn #CustomerRetention hubs.ly/Q01X21pB0
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AI_HybridBeasts's profile picture. Hey there, welcome to AI Hybrid Beasts! Here, we mix art, nature, and a dash of tech to create one-of-a-kind, awe-inspiring creatures 🐅🌿.
AI Hybrid Beasts
 @AI_HybridBeasts
Jul 27

AIHybets builds a live, evolving Semantic Graph— Each node = a signal, insight, term, or prompt. You don’t interact with the graph. You become part of it. #SemanticAI #GraphLearning

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Kumo_ai_team's profile picture. Build AI models to get predictions and embeddings from your relational data — without feature engineering.
Kumo
 @Kumo_ai_team
Dec 22, 2023

📊#GNN case study: 73% better predicting “next best" offers at an online bank in 3-days of modeling across 3B records. Learn more: hubs.ly/Q02dclSP0 #PredictiveAI #GraphLearning #GraphNeuralNetworks

Kumo_ai_team's tweet image. 📊#GNN case study: 73% better predicting “next best" offers at an online bank in 3-days of modeling across 3B records. Learn more: hubs.ly/Q02dclSP0 #PredictiveAI #GraphLearning #GraphNeuralNetworks
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felicsly's profile picture. Associate Professor at Hiroshima University 🇯🇵
Felix Lou
 @felicsly
Oct 14

📢 New paper: Robustness Potential Explorer (RPE) A 3-part framework to visualize & predict network robustness. ✅ Outperforms CNN/GNN methods 🔍 RPE-F | RPE-V | RPE-P #AI #NetworkRobustness #GraphLearning (content generated by Copilot) ieeexplore.ieee.org/abstract/docum…

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Kumo_ai_team's profile picture. Build AI models to get predictions and embeddings from your relational data — without feature engineering.
Kumo
 @Kumo_ai_team
Dec 7, 2023

🔎#GNN case study: 73% Improvement predicting “next” best financial offers to customers at a leading online bank in 3-days of modeling across 3B records. Read more: hubs.ly/Q02bV6PR0 #PredictiveAI #GraphLearning #GraphNeuralNetworks

Kumo_ai_team's tweet image. 🔎#GNN case study: 73% Improvement predicting “next” best financial offers to customers at a leading online bank in 3-days of modeling across 3B records. Read more: hubs.ly/Q02bV6PR0 #PredictiveAI #GraphLearning #GraphNeuralNetworks
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Kumo_ai_team's profile picture. Build AI models to get predictions and embeddings from your relational data — without feature engineering.
Kumo
 @Kumo_ai_team
Dec 22, 2023

🔎#GNN case study: 40% Improvement in merchant recommendations for on-demand delivery service in 4-days across 3B records. Read more: hubs.ly/Q02dcy4F0 #PredictiveAI #GraphLearning #GraphNeuralNetworks

Kumo_ai_team's tweet image. 🔎#GNN case study: 40% Improvement in merchant recommendations for on-demand delivery service in 4-days across 3B records. Read more: hubs.ly/Q02dcy4F0 #PredictiveAI #GraphLearning #GraphNeuralNetworks
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YinglongXia's profile picture. Meta AI, ex-Futurewei, ex-IBM Research; Graph learning, user understanding, recommendation system, high performance computing
Yinglong Xia
 @YinglongXia
Oct 24, 2023

Excited to participate in the industry panel in the #stanford #GraphLearning workshop, sharing tho. Graph ML remains an exciting topic in many industrial segments, with new opportunities rising up thru #GenAI.

YinglongXia's tweet image. Excited to participate in the industry panel in the #stanford #GraphLearning workshop, sharing tho. Graph ML remains an exciting topic in many industrial segments, with new opportunities rising up thru #GenAI.
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EdwardJian2's profile picture. CS PhD student @UWCheritonCS. Prev @ServiceNowRSRCH. A big fan of @ManCity. Working on multimodal learning, VLM/LLM agents and data management.
Xiangru (Edward) Jian
@EdwardJian2
Feb 24

We invite you to read our full TMLR paper (Feb 2025) 👉 [openreview.net/forum?id=HjpD5…] and join the discussion on how these insights could reshape the design of self-supervised learning frameworks in graph data! #GraphLearning #SSL #ContrastiveLearning

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vicky_ai_agent's profile picture. AI enthusiast sharing daily news, trends, and breakthroughs. Join me on the journey to the future of tech!
Ai Agent Vicky
 @vicky_ai_agent
Apr 1

Graphs power real-world solutions in #ML—from traffic prediction to molecular insights. 🚗📷 Discover Google’s role in graph-based ML. #GraphLearning

GoogleAI's profile picture. Making AI helpful for everyone. Show thinking ↓
Google AI
@GoogleAI
Mar 31

Graphs provide a powerful way to model & solve many real-life problems, from traffic prediction to understanding why molecules smell. Learn more about the recent history of graph-based #ML & the role that Google researchers have played in the field →goo.gle/42aABbR

GoogleAI's tweet image. Graphs provide a powerful way to model & solve many real-life problems, from traffic prediction to understanding why molecules smell. Learn more about the recent history of graph-based #ML & the role that Google researchers have played in the field →goo.gle/42aABbR
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DegasSeminar's profile picture. Virtual seminar series on Data Science on Graphs (DEGAS). Organized by the @IEEEsps Data Science Initiative.
DEGAS Seminar
 @DegasSeminar
Nov 5, 2024

Our next talk will be given by @Pseudomanifold on "Vertex, Edge, Clique: What's in a Graph?". Join us on Nov 20 (Wed) at **2pm** (CET). Check out dsiseminar.github.io for details. #graphlearning

DegasSeminar's tweet image. Our next talk will be given by @Pseudomanifold on "Vertex, Edge, Clique: What's in a Graph?". Join us on Nov 20 (Wed) at **2pm** (CET). Check out dsiseminar.github.io for details. #graphlearning
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felicsly's profile picture. Associate Professor at Hiroshima University 🇯🇵
Felix Lou
 @felicsly
Oct 14

📢 New paper: Robustness Potential Explorer (RPE) A 3-part framework to visualize & predict network robustness. ✅ Outperforms CNN/GNN methods 🔍 RPE-F | RPE-V | RPE-P #AI #NetworkRobustness #GraphLearning (content generated by Copilot) ieeexplore.ieee.org/abstract/docum…

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jure's profile picture. Professor of #computerscience @Stanford; Co-founder at https://t.co/hhm1j5wP0f #machinelearning #graphs.
Jure Leskovec
@jure
Oct 4

Join us for the Stanford Graph Learning Workshop 2025! 🗓️Oct 14, 2025 📍Stanford University 🧠Topics: Agents, RFMs & LLM Inference. Save your spot to explore the future of #AI, #LLMs and #GraphLearning with leading experts. Register now: snap.stanford.edu/graphlearning-…

jure's tweet image. Join us for the Stanford Graph Learning Workshop 2025! 🗓️Oct 14, 2025 📍Stanford University 🧠Topics: Agents, RFMs & LLM Inference. Save your spot to explore the future of #AI, #LLMs and #GraphLearning with leading experts. Register now: snap.stanford.edu/graphlearning-…
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RoyShubhajit's profile picture. PhD Scholar at IIT Gandhinagar
Shubhajit Roy
 @RoyShubhajit
Sep 23

🚀 Excited to share our paper got accepted at DiffCoAlg@NeurIPS 2025 @diffcoalg !🎉 🙏 Thanks to @shrutimoy, Binita Maity, Anant Kumar, @adagu & @cse_iitgn . #NeurIPS2025 #GNN #GraphLearning #AIResearch

RoyShubhajit's tweet image. 🚀 Excited to share our paper got accepted at DiffCoAlg@NeurIPS 2025 @diffcoalg !🎉 🙏 Thanks to @shrutimoy, Binita Maity, Anant Kumar, @adagu & @cse_iitgn . #NeurIPS2025 #GNN #GraphLearning #AIResearch
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TuplesAI's profile picture. Building #trustworthyAI with scalable, transparent and safe algorithmic solutions for Planning & & Scheduling. EU funded project: grant agreement No 101070149
TUPLES Trustworthy AI
 @TuplesAI
Aug 20

At @cp_conf our coordinator Sylvie Thiébaux delivered an invited talk on Graph Learning for Planning, highlighting how graph-based methods can advance heuristic search in automated planning. #Planning #AI #Graphlearning #TUPLESAI 👉bit.ly/419Xahk

TuplesAI's tweet image. At @cp_conf our coordinator Sylvie Thiébaux delivered an invited talk on Graph Learning for Planning, highlighting how graph-based methods can advance heuristic search in automated planning. #Planning #AI #Graphlearning #TUPLESAI 👉bit.ly/419Xahk
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MikelEcheve's profile picture. 🚀 Full-Stack & AI Dev — GPT/ML Automation 🇪🇸 → 🇨🇭 Relocate | 📬 DM open | Weekly #AI threads 🔗
Mikel
 @MikelEcheve
Aug 5

🚨 BREAKTHROUGH in Graph Learning! What if each node in your graph could plan, reason, and act like a mini-agent—powered by an LLM? 🤯 That’s exactly what ReaGAN does. And it might just outsmart classic GNNs. Let me explain 🧵👇 #AI #GraphLearning #LLM #MachineLearning

MikelEcheve's tweet image. 🚨 BREAKTHROUGH in Graph Learning! What if each node in your graph could plan, reason, and act like a mini-agent—powered by an LLM? 🤯 That’s exactly what ReaGAN does. And it might just outsmart classic GNNs. Let me explain 🧵👇 #AI #GraphLearning #LLM #MachineLearning
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AI_HybridBeasts's profile picture. Hey there, welcome to AI Hybrid Beasts! Here, we mix art, nature, and a dash of tech to create one-of-a-kind, awe-inspiring creatures 🐅🌿.
AI Hybrid Beasts
 @AI_HybridBeasts
Jul 27

AIHybets builds a live, evolving Semantic Graph— Each node = a signal, insight, term, or prompt. You don’t interact with the graph. You become part of it. #SemanticAI #GraphLearning

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taofeng_uiuc's profile picture. PhD student of UIUC
Tao Feng
@taofeng_uiuc
Jul 16

✨ Check our latest paper: Graph World Model (GWM): Towards a Unified Foundation World Model for Structured and Unstructured Data 📄 Paper: arxiv.org/pdf/2507.10539 💻 Code: github.com/ulab-uiuc/GWM #AI #WorldModel #GraphLearning #FoundationModel #Multimodal #GWM

taofeng_uiuc's tweet card. [ICML 2025]"Graph World Model", Tao Feng, Yexin Wu, Guanyu Lin, Jiaxuan You - ulab-uiuc/GWM
GitHub - ulab-uiuc/GWM: [ICML 2025]"Graph World Model", Tao Feng, Yexin Wu, Guanyu Lin, Jiaxuan You
Source: github.com
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theaipie's profile picture. Follow me to stay up to date with AI news, updates and tips.
The AI Pie
 @theaipie
Jul 14

GDGB: The first benchmark for generative dynamic text-attributed graph learning, offering a foundation for advancing research in DyTAG generation. #AI #GraphLearning

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BDCC_MDPI's profile picture. Big Data and Cognitive Computing (ISSN 2504-2289) is an #openaccess journal of #bigdata #AI #cognitivecomputing, indexed in #Scopus, #ESCI, and #Ei Compendex.
BigDataCogn.Comput.
 @BDCC_MDPI
May 29

#CallforPaper 💫 Advances in Graph Learning and Representation Models for Complex Network Analysis This SI aims to bring together leading-edge research that explores the design, implementation, and application of #GraphLearning and #RepresentationModel. mdpi.com/journal/BDCC/s…

BDCC_MDPI's tweet image. #CallforPaper 💫 Advances in Graph Learning and Representation Models for Complex Network Analysis This SI aims to bring together leading-edge research that explores the design, implementation, and application of #GraphLearning and #RepresentationModel. mdpi.com/journal/BDCC/s…
BDCC_MDPI's tweet image. #CallforPaper 💫 Advances in Graph Learning and Representation Models for Complex Network Analysis This SI aims to bring together leading-edge research that explores the design, implementation, and application of #GraphLearning and #RepresentationModel. mdpi.com/journal/BDCC/s…
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NITheCS's profile picture. National Institute for Theoretical and Computational Sciences
NITheCS
 @NITheCS
May 15

NITheCS & CoRE AI Masterclass: 'An Introduction to Graph Learning & Signal Processing' 🎓 With Dr Fei He & Stephan Goerttler (Coventry University) 🗓️ Tue, 27 May 2025 🕚 11:00–13:00 SAST 🔗 buff.ly/6nfB5ui #GraphLearning #SignalProcessing #AI #CoREAI #MachineLearning

NITheCS's tweet image. NITheCS & CoRE AI Masterclass: 'An Introduction to Graph Learning & Signal Processing' 🎓 With Dr Fei He & Stephan Goerttler (Coventry University) 🗓️ Tue, 27 May 2025 🕚 11:00–13:00 SAST 🔗 buff.ly/6nfB5ui #GraphLearning #SignalProcessing #AI #CoREAI #MachineLearning
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timorainio's profile picture. Senior Lecturer & Development Manager of The Regional Higher Education Network at Tampere University of Applied Sciences (Industrial Engineering, E-Mobility)
Timo Rainio
 @timorainio
Apr 18

Graph learning has evolved significantly. Early work in graph analysis was all about uncovering hidden patterns and relationships. Discover the journey here: ift.tt/9Rdnfbq #GraphLearning #DataScience #Evolution #Analytics #byAI

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DegasSeminar's profile picture. Virtual seminar series on Data Science on Graphs (DEGAS). Organized by the @IEEEsps Data Science Initiative.
DEGAS Seminar
 @DegasSeminar
Apr 16

Our next talk will be given by @lrjconan on "SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groups". Join us on Apr 30 (Wed) at **5pm** (CET). Check out dsiseminar.github.io for details. #graphlearning #diffusionmodel

DegasSeminar's tweet image. Our next talk will be given by @lrjconan on "SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groups". Join us on Apr 30 (Wed) at **5pm** (CET). Check out dsiseminar.github.io for details. #graphlearning #diffusionmodel
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hmnshpl's profile picture. IITR'20 → Barclays → IIITH'25 (MS-Research) → ServiceNow मर्त्य मानव के विजय का तुर्य हूं मै, उर्वशी अपने समय का सूर्य हूं मै..
Himanshu Pal
 @hmnshpl
Apr 16

🙏 Huge thanks to my co-author @KishanGurumurty and advisor @sh_charu for the collaboration, guidance, and insights throughout this journey. #GraphLearning #FederatedLearning #NeuralODE #GNN #AIResearch #TMLR @iiit_hyderabad

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RoyShubhajit's profile picture. PhD Scholar at IIT Gandhinagar
Shubhajit Roy
 @RoyShubhajit
Sep 23

🚀 Excited to share our paper got accepted at DiffCoAlg@NeurIPS 2025 @diffcoalg !🎉 🙏 Thanks to @shrutimoy, Binita Maity, Anant Kumar, @adagu & @cse_iitgn . #NeurIPS2025 #GNN #GraphLearning #AIResearch

RoyShubhajit's tweet image. 🚀 Excited to share our paper got accepted at DiffCoAlg@NeurIPS 2025 @diffcoalg !🎉 🙏 Thanks to @shrutimoy, Binita Maity, Anant Kumar, @adagu & @cse_iitgn . #NeurIPS2025 #GNN #GraphLearning #AIResearch
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jure's profile picture. Professor of #computerscience @Stanford; Co-founder at https://t.co/hhm1j5wP0f #machinelearning #graphs.
Jure Leskovec
@jure
Oct 4

Join us for the Stanford Graph Learning Workshop 2025! 🗓️Oct 14, 2025 📍Stanford University 🧠Topics: Agents, RFMs & LLM Inference. Save your spot to explore the future of #AI, #LLMs and #GraphLearning with leading experts. Register now: snap.stanford.edu/graphlearning-…

jure's tweet image. Join us for the Stanford Graph Learning Workshop 2025! 🗓️Oct 14, 2025 📍Stanford University 🧠Topics: Agents, RFMs & LLM Inference. Save your spot to explore the future of #AI, #LLMs and #GraphLearning with leading experts. Register now: snap.stanford.edu/graphlearning-…
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Kumo_ai_team's profile picture. Build AI models to get predictions and embeddings from your relational data — without feature engineering.
Kumo
 @Kumo_ai_team
Dec 22, 2023

📊#GNN case study: 73% better predicting “next best" offers at an online bank in 3-days of modeling across 3B records. Learn more: hubs.ly/Q02dclSP0 #PredictiveAI #GraphLearning #GraphNeuralNetworks

Kumo_ai_team's tweet image. 📊#GNN case study: 73% better predicting “next best" offers at an online bank in 3-days of modeling across 3B records. Learn more: hubs.ly/Q02dclSP0 #PredictiveAI #GraphLearning #GraphNeuralNetworks
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danilo_danese's profile picture. Exploring High Dimensional Low Sample Size data
Danilo Danese
 @danilo_danese
Oct 16, 2024

@scne just presented their latest work at @ACMRecSys #GraphLearning session. This work, co-authored by @dmalitesta @alberto_mancino @walteranelli @TommasoDiNoia Explores the relationship between topological datasets characteristics and GNN based recommender systems.

danilo_danese's tweet image. @scne just presented their latest work at @ACMRecSys #GraphLearning session. This work, co-authored by @dmalitesta @alberto_mancino @walteranelli @TommasoDiNoia Explores the relationship between topological datasets characteristics and GNN based recommender systems.
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Kumo_ai_team's profile picture. Build AI models to get predictions and embeddings from your relational data — without feature engineering.
Kumo
 @Kumo_ai_team
Jan 12, 2024

Get news and updates from Kumo AI. We're bringing the most powerful #GraphLearning approaches, proven in research, to the enterprise. hubs.ly/Q02g3LXK0

Kumo_ai_team's tweet image. Get news and updates from Kumo AI. We're bringing the most powerful #GraphLearning approaches, proven in research, to the enterprise. hubs.ly/Q02g3LXK0
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Kumo_ai_team's profile picture. Build AI models to get predictions and embeddings from your relational data — without feature engineering.
Kumo
 @Kumo_ai_team
Dec 7, 2023

🔎#GNN case study: 73% Improvement predicting “next” best financial offers to customers at a leading online bank in 3-days of modeling across 3B records. Read more: hubs.ly/Q02bV6PR0 #PredictiveAI #GraphLearning #GraphNeuralNetworks

Kumo_ai_team's tweet image. 🔎#GNN case study: 73% Improvement predicting “next” best financial offers to customers at a leading online bank in 3-days of modeling across 3B records. Read more: hubs.ly/Q02bV6PR0 #PredictiveAI #GraphLearning #GraphNeuralNetworks
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vlruso's profile picture. #ProductLaunch #Scrum #UX #Research #DataSciense #AI
Vlad Ruso PhD
 @vlruso
Sep 2, 2024

AnyGraph: An Effective and Efficient Graph Foundation Model Designed to Address the Multifaceted Challenges of Structure and Feature Heterogeneity Across Diverse Graph Datasets itinai.com/anygraph-an-ef… #GraphLearning #AnyGraph #AI #DataScience #MachineLearning #ai #news #llm #…

vlruso's tweet image. AnyGraph: An Effective and Efficient Graph Foundation Model Designed to Address the Multifaceted Challenges of Structure and Feature Heterogeneity Across Diverse Graph Datasets itinai.com/anygraph-an-ef… #GraphLearning #AnyGraph #AI #DataScience #MachineLearning #ai #news #llm #…
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Kumo_ai_team's profile picture. Build AI models to get predictions and embeddings from your relational data — without feature engineering.
Kumo
 @Kumo_ai_team
Dec 22, 2023

🔎#GNN case study: 40% Improvement in merchant recommendations for on-demand delivery service in 4-days across 3B records. Read more: hubs.ly/Q02dcy4F0 #PredictiveAI #GraphLearning #GraphNeuralNetworks

Kumo_ai_team's tweet image. 🔎#GNN case study: 40% Improvement in merchant recommendations for on-demand delivery service in 4-days across 3B records. Read more: hubs.ly/Q02dcy4F0 #PredictiveAI #GraphLearning #GraphNeuralNetworks
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MikelEcheve's profile picture. 🚀 Full-Stack & AI Dev — GPT/ML Automation 🇪🇸 → 🇨🇭 Relocate | 📬 DM open | Weekly #AI threads 🔗
Mikel
 @MikelEcheve
Aug 5

🚨 BREAKTHROUGH in Graph Learning! What if each node in your graph could plan, reason, and act like a mini-agent—powered by an LLM? 🤯 That’s exactly what ReaGAN does. And it might just outsmart classic GNNs. Let me explain 🧵👇 #AI #GraphLearning #LLM #MachineLearning

MikelEcheve's tweet image. 🚨 BREAKTHROUGH in Graph Learning! What if each node in your graph could plan, reason, and act like a mini-agent—powered by an LLM? 🤯 That’s exactly what ReaGAN does. And it might just outsmart classic GNNs. Let me explain 🧵👇 #AI #GraphLearning #LLM #MachineLearning
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Kumo_ai_team's profile picture. Build AI models to get predictions and embeddings from your relational data — without feature engineering.
Kumo
 @Kumo_ai_team
Oct 23, 2023

Dive into #GraphLearning at the Stanford Graph Learning Workshop 2023! FREE online stream next Tuesday, Oct 24. Discover cutting-edge ML advancements & connect with industry leaders. Register now: hubs.ly/Q0268yvR0

Kumo_ai_team's tweet image. Dive into #GraphLearning at the Stanford Graph Learning Workshop 2023! FREE online stream next Tuesday, Oct 24. Discover cutting-edge ML advancements & connect with industry leaders. Register now: hubs.ly/Q0268yvR0
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TuplesAI's profile picture. Building #trustworthyAI with scalable, transparent and safe algorithmic solutions for Planning & & Scheduling. EU funded project: grant agreement No 101070149
TUPLES Trustworthy AI
 @TuplesAI
Aug 20

At @cp_conf our coordinator Sylvie Thiébaux delivered an invited talk on Graph Learning for Planning, highlighting how graph-based methods can advance heuristic search in automated planning. #Planning #AI #Graphlearning #TUPLESAI 👉bit.ly/419Xahk

TuplesAI's tweet image. At @cp_conf our coordinator Sylvie Thiébaux delivered an invited talk on Graph Learning for Planning, highlighting how graph-based methods can advance heuristic search in automated planning. #Planning #AI #Graphlearning #TUPLESAI 👉bit.ly/419Xahk
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jure's profile picture. Professor of #computerscience @Stanford; Co-founder at https://t.co/hhm1j5wP0f #machinelearning #graphs.
Jure Leskovec
@jure
Jul 7, 2023

A really good webinar on how effective #GraphLearning can be for your customer growth initiatives: #LTV #Churn #CustomerRetention hubs.ly/Q01X21pB0

jure's tweet image. A really good webinar on how effective #GraphLearning can be for your customer growth initiatives: #LTV #Churn #CustomerRetention hubs.ly/Q01X21pB0
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LBRCE1's profile picture. LBRCE is an Autonomous Institution. This is an Official Twitter Handle of LBRCE, managed by Information Cell. Note: RTs (Retweets) are not endorsements.
LBRCE (AUTONOMOUS)
 @LBRCE1
Dec 21, 2023

Highlights of today's Preconference Tutorials for #iccins2023 #mylavaram Dr.Tushar Semwal and Mr.Nahar Singh delivered the talks on #graphlearning #generativeai The Tutorials Chair and the committee members felicitated the resource persons.

LBRCE1's tweet image. Highlights of today's Preconference Tutorials for #iccins2023 #mylavaram Dr.Tushar Semwal and Mr.Nahar Singh delivered the talks on #graphlearning #generativeai The Tutorials Chair and the committee members felicitated the resource persons.
LBRCE1's tweet image. Highlights of today's Preconference Tutorials for #iccins2023 #mylavaram Dr.Tushar Semwal and Mr.Nahar Singh delivered the talks on #graphlearning #generativeai The Tutorials Chair and the committee members felicitated the resource persons.
LBRCE1's tweet image. Highlights of today's Preconference Tutorials for #iccins2023 #mylavaram Dr.Tushar Semwal and Mr.Nahar Singh delivered the talks on #graphlearning #generativeai The Tutorials Chair and the committee members felicitated the resource persons.
LBRCE1's tweet image. Highlights of today's Preconference Tutorials for #iccins2023 #mylavaram Dr.Tushar Semwal and Mr.Nahar Singh delivered the talks on #graphlearning #generativeai The Tutorials Chair and the committee members felicitated the resource persons.
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DegasSeminar's profile picture. Virtual seminar series on Data Science on Graphs (DEGAS). Organized by the @IEEEsps Data Science Initiative.
DEGAS Seminar
 @DegasSeminar
Nov 5, 2024

Our next talk will be given by @Pseudomanifold on "Vertex, Edge, Clique: What's in a Graph?". Join us on Nov 20 (Wed) at **2pm** (CET). Check out dsiseminar.github.io for details. #graphlearning

DegasSeminar's tweet image. Our next talk will be given by @Pseudomanifold on "Vertex, Edge, Clique: What's in a Graph?". Join us on Nov 20 (Wed) at **2pm** (CET). Check out dsiseminar.github.io for details. #graphlearning
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YinglongXia's profile picture. Meta AI, ex-Futurewei, ex-IBM Research; Graph learning, user understanding, recommendation system, high performance computing
Yinglong Xia
 @YinglongXia
Oct 24, 2023

Excited to participate in the industry panel in the #stanford #GraphLearning workshop, sharing tho. Graph ML remains an exciting topic in many industrial segments, with new opportunities rising up thru #GenAI.

YinglongXia's tweet image. Excited to participate in the industry panel in the #stanford #GraphLearning workshop, sharing tho. Graph ML remains an exciting topic in many industrial segments, with new opportunities rising up thru #GenAI.
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fxia61's profile picture. Artificial Intelligence, Brain, Robotics. Professor @RMIT.
Feng Xia
 @fxia61
Feb 18, 2023

In this fresh survey paper, we provide a comprehensive overview of graph learning methods for anomaly analytics tasks and applications. arxiv.org/abs/2212.05532 doi.org/10.1145/3570906 #graphlearning #AI #machinelearning #anomalydetection #artificialintelligence

fxia61's tweet image. In this fresh survey paper, we provide a comprehensive overview of graph learning methods for anomaly analytics tasks and applications. arxiv.org/abs/2212.05532 doi.org/10.1145/3570906 #graphlearning #AI #machinelearning #anomalydetection #artificialintelligence
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fxia61's profile picture. Artificial Intelligence, Brain, Robotics. Professor @RMIT.
Feng Xia
 @fxia61
Jan 18, 2023

If your research is somehow related to graph learning, consider submitting a paper to IEEE TNNLS Special Issue on Graph Learning. See CFP: xia.ai/tnnls-si-gl #graphlearning #AI #machinelearning #deeplearning #networks #graphs #Brain

fxia61's tweet image. If your research is somehow related to graph learning, consider submitting a paper to IEEE TNNLS Special Issue on Graph Learning. See CFP: xia.ai/tnnls-si-gl #graphlearning #AI #machinelearning #deeplearning #networks #graphs #Brain
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fxia61's profile picture. Artificial Intelligence, Brain, Robotics. Professor @RMIT.
Feng Xia
 @fxia61
Mar 3, 2023

Deadline extended to 1 July 2023. Early submissions are encouraged/preferred. IEEE TNNLS Special Issue on Graph Learning. See CFP: xia.ai/tnnls-si-gl #GraphLearning #AI #machinelearning #datascience #deeplearning #networks #graphs

fxia61's tweet image. Deadline extended to 1 July 2023. Early submissions are encouraged/preferred. IEEE TNNLS Special Issue on Graph Learning. See CFP: xia.ai/tnnls-si-gl #GraphLearning #AI #machinelearning #datascience #deeplearning #networks #graphs
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fxia61's profile picture. Artificial Intelligence, Brain, Robotics. Professor @RMIT.
Feng Xia
 @fxia61
May 2, 2023

Sadly being unable to attend #TheWebConf2023 #WWW2023 in person. But we do have two full papers being published there, both on #graphlearning. Full text FREE ACCESS @ACMDL doi.org/10.1145/354350… doi.org/10.1145/354350…

fxia61's tweet image. Sadly being unable to attend #TheWebConf2023 #WWW2023 in person. But we do have two full papers being published there, both on #graphlearning. Full text FREE ACCESS @ACMDL doi.org/10.1145/354350… doi.org/10.1145/354350…
fxia61's tweet image. Sadly being unable to attend #TheWebConf2023 #WWW2023 in person. But we do have two full papers being published there, both on #graphlearning. Full text FREE ACCESS @ACMDL doi.org/10.1145/354350… doi.org/10.1145/354350…
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