TV-Rec: Time-Variant Convolutional Filter for Sequential Recommendation, NeurIPS 2025

RelBench: Relational Deep Learning Benchmark

Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain, IJCAI 2025

Code for "Kuramoto Orientation Diffusion"

Code for the paper "Data-driven particle dynamics: Structure-preserving coarse-graining for emergent behavior in non-equilibrium systems".

Winner-takes-all for Multivariate Probabilistic Time Series Forecasting

GraphAny: A foundation model for node classification on any graph.

Awesome Tabular Deep Learning for "Representation Learning for Tabular Data: A Comprehensive Survey"

Einstein Fields official implementation in JAX.

[ICML 2025]"Graph World Model", Tao Feng, Yexin Wu, Guanyu Lin, Jiaxuan You

TabPFGen: Synthetic Tabular Data Generation with TabPFN

A collection of graph foundation models including papers, codes, and datasets.

Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

The official implementation for ICML2025 paper "Supercharging Graph Transformers with Advective Diffusion"

[ICML 2025] Official implementation for paper "A Comprehensive Analysis on LLM-based Node Classification Algorithms"

A generative one-for-all model for joint graph language modeling

Official implementation of the TabPFN paper (https://arxiv.org/abs/2207.01848) and the tabpfn package.

[ICML 2025] RelGNN: Composite Message Passing for Relational Deep Learning

Quantifying long-range dependency in GNN: a large-scale dataset and a measurement.

GLoSS: Generative Language Models with Semantic Search for Sequential Recommendation

A general framework for bridging LLMs and recommendation systems via reinforcement learning. https://arxiv.org/pdf/2503.24289