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awesome-graph-causal-learning

A list of Graph Causal Learning materials.

awesome-graph-llm

A collection of AWESOME things about Graph-Related LLMs.

awesome-llms-in-graph-tasks

A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.

awesome-neural-ode

A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.

awesome-time-series

list of papers, code, and other resources

awesome-timeseries-aiops-lm-llm

A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, Event Data, and AIOps.

generative-diffusion-models-on-graphs

gnn4traffic

This is the repository for the collection of Graph Neural Network for Traffic Forecasting.

gnns-in-network-neuroscience

A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

graph-learning-reading-list

Advances on machine learning of graphs, covering the reading list of recent top academic conferences.

msml21_bayesiannode

physiopro

A deep learning framework for physiological data processing and understanding.

pinns

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

spatio-temporal-paper-list

Spatio-temporal modeling 论文列表（主要是graph convolution相关)