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Type: Organization
Type: Organization
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[Neurips2022] Understanding Non-linearity in Graph Neural Networks from the Perspective of Bayesian Inference
The official implementation of `A benchmark for Directed Graph Representation Learning in Hardware Designs'
The repository for 'Unsupervised Learning for Combinatorial Optimization with Principled Proxy Design'
The official implementation of DIG-MILP
Distance Encoding for GNN Design
Decomposable Submodular Function Minimization with Incidence Relations
[ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li
[NeurIPS 2023 : GLFRONTIERS Workshop] GAD-EBM : Graph Anomaly Detection using Energy-Based Models
[WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction
Code for GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts
Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs
code for the paper "GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?"
[ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.
[Preprint] Graph State Space Convolution (GSSC)
[ICML'24 Oral] LSH-Based Efficient Point Transformer (HEPT)
Inverse power method for submodular hypergraphs
code for the paper "LayerDAG: A Layerwise Autoregressive Diffusion Model of Directed Acyclic Graphs"
[ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.
the official repository of the paper unsupervised learning for combinatorial optimization needs meta learning
Yuhong Luo and Pan Li. Neighborhood-aware scalable temporal network representation learning. In Learning on Graphs, 2022.
"No Need to Look Back: An Efficient and Scalable Approach for Temporal Network Representation Learning" by Yuhong Luo and Pan Li
[ICML 2024] Code for Pairwise Alignment Improves Graph Domain Adaptation (Pair-Align)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.