Dongqi Fu @DongqiFu_UIUC
Research Scientist at @AIatMeta | Ph.D. from @IllinoisCDS | Working on #GeometricDeepLearning #SequenceModeling #ProbabilisticGraphicalModel dongqifu.github.io Joined January 2017-
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Very inspiring work! Congrats!
Dongqi Fu retweeted
‼️We propose to learn temporal positional encodings for spatial-temporal graphs, L-STEP, in our #ICML2025 paper. Even simple MLPs can achieve leading performance in various temporal link prediction settings! 📄 Paper: arxiv.org/pdf/2506.08309 💻 Code: github.com/kthrn22/L-STEP
Interesting to see the analysis between Inference scaling and LLM safety!
Interesting to see the analysis between Inference scaling and LLM safety!
Identify Invariant Subgraphs for Spatial-Temporal OOD Problems 👏👏👏
Identify Invariant Subgraphs for Spatial-Temporal OOD Problems 👏👏👏
Dongqi Fu retweeted
We'll present 4 papers and 1 keynote talk at #ICLR2025. Prof. Jingrui He and Prof. Hanghang Tong will be at the conference. Let's connect! ☕️
🔥various graph types and various evaluation metrics
🔥various graph types and various evaluation metrics
Beyond numerical-only time series models, let’s see how language can help time series forecasting and imputation🤹
Beyond numerical-only time series models, let’s see how language can help time series forecasting and imputation🤹
💡 How can we describe a graph to LLMs ? 🧐 For example, G(n, p) uses number of nodes and connection probability to describe a graph. 📑 Please check out our survey, What Do LLMs Need to Understand Graphs: A Survey of Parametric Representation of Graphs arxiv.org/pdf/2410.12126
Excited to know our #ICLR2025 paper is selected as Spotlight 🎉🎉🎉 We studied how to generate large-scale temporal heterogeneous graphs balancing privacy, utility, and efficiency We also found diffusion model may not be the solution to answer them all openreview.net/forum?id=tj5xJ…
Dongqi Fu retweeted
This thursday, Feb 13th, 11am ET, at the Reading group, @kthrn_uiuc will present: Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed (NeurIPS 2024). Looking forward to seeing you there! 🎉🎉 Zoom link on website openreview.net/forum?id=266nH…
This thursday, Feb 13th, 11am ET, at the Reading group, @kthrn_uiuc will present: Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed (NeurIPS 2024). Looking forward to seeing you there! 🎉🎉 Zoom link on website openreview.net/forum?id=266nH…
2 papers accepted by #ICLR2025, 1 paper by #AISTATS2025, and 1 paper by #KDD2025, congrats all collaborators 🎉 TL;DR 1️⃣ How to generate temporal heterogeneous graphs 2️⃣ How to tokenize a graph 3️⃣ How to infer invariant subgraphs 4️⃣ How to compress an evolving knowledge graph
Dongqi Fu retweeted
Can we obtain temporal graph neural representation without neural network❓ Check out our #NeurIPS2024 paper, Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed 🎉 Paper: openreview.net/pdf?id=266nH7k… Code: github.com/kthrn22/TempGN…
Dongqi Fu retweeted
We will present 6 papers at #NeurIPS2024 covering active learning, graph learning, time series and trustworthy ML. Come and have a chat during the poster sessions!🚀
Three papers are accepted by #NeurIPS2024 🎉 1️⃣We investigate what Neural Tangent Kernel looks like on temporal graphs 2️⃣We investigate how to attack multivariate time series forecasting by GNNs 3️⃣ We investigate how to combine PageRank with Bandits to solve link predictions
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