Pinned Repositories
GLAM
Source Code for Graph Anomaly Detection with Unsupervised GNNs (ICDM2022)
GLOD-Issues
Source code and additional results for GLOD issues
GNNAsKernel
Source code for From Stars to Subgraphs (ICLR 2022)
KCSetGNN
Official Implementation of (k,c)(≤)-SetGNN (NeurIPS 2022)
PairNorm
Source code for PairNorm (ICLR 2020)
Pard
Permutation-Invariant Autoregressive Diffusion (NeurIPS 2024)
PG-Learn
An efficient algorithm to learn graph for semi-supervised learning
USD3
Unify and Simplify Discrete-time and Continuous-time Discrete Denoising Diffusion
XJTU_LaTeX
LingxiaoShawn's Repositories
LingxiaoShawn/PairNorm
Source code for PairNorm (ICLR 2020)
LingxiaoShawn/GNNAsKernel
Source code for From Stars to Subgraphs (ICLR 2022)
LingxiaoShawn/USD3
Unify and Simplify Discrete-time and Continuous-time Discrete Denoising Diffusion
LingxiaoShawn/GLOD-Issues
Source code and additional results for GLOD issues
LingxiaoShawn/KCSetGNN
Official Implementation of (k,c)(≤)-SetGNN (NeurIPS 2022)
LingxiaoShawn/GLAM
Source Code for Graph Anomaly Detection with Unsupervised GNNs (ICDM2022)
LingxiaoShawn/Pard
Permutation-Invariant Autoregressive Diffusion (NeurIPS 2024)
LingxiaoShawn/XJTU_LaTeX
LingxiaoShawn/PG-Learn
An efficient algorithm to learn graph for semi-supervised learning
LingxiaoShawn/EPNN-Experiments
Experiments for "On the Expressive Power of Spectral Invariant Graph Neural Networks"
LingxiaoShawn/GPCANet
LingxiaoShawn/leetcode
leetcode cracked in python
LingxiaoShawn/GraphClassificationBenchmark
Benchmarking graph classification datasets
LingxiaoShawn/LingxiaoShawn.github.io
LingxiaoShawn/pytorch_geometric
Graph Neural Network Library for PyTorch
LingxiaoShawn/awsome-distributed-training
Collection of best practices, reference architectures, model training examples and utilities to train large models on AWS.
LingxiaoShawn/DiGress
code for the paper "DiGress: Discrete Denoising diffusion for graph generation"
LingxiaoShawn/dolma
Data and tools for generating and inspecting OLMo pre-training data.
LingxiaoShawn/Graph-Generative-Pretraining-Literature
LingxiaoShawn/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
LingxiaoShawn/setvae
[CVPR'21] SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data, in PyTorch
LingxiaoShawn/xformers
Hackable and optimized Transformers building blocks, supporting a composable construction.