Pinned Repositories
awesome-graph-ood
Papers about out-of-distribution generalization on graphs.
DANSER-WWW-19
DEEMS-KDD-19
DIFFormer
The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"
FATE
Codes and datasets for NeurIPS21 paper “Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach”
GraphOOD-EERM
The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"
GraphOOD-GNNSafe
The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"
IDCF
Codes and datasets for ICML21 paper "Towards open-world recommendation: An inductive model-based collaborative filtering approach"
NodeFormer
The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"
SGFormer
The official implementation for NeurIPS2023 paper "SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations"
qitianwu's Repositories
qitianwu/DIFFormer
The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"
qitianwu/NodeFormer
The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"
qitianwu/SGFormer
The official implementation for NeurIPS2023 paper "SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations"
qitianwu/DANSER-WWW-19
qitianwu/GraphOOD-EERM
The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"
qitianwu/GraphOOD-GNNSafe
The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"
qitianwu/IDCF
Codes and datasets for ICML21 paper "Towards open-world recommendation: An inductive model-based collaborative filtering approach"
qitianwu/FATE
Codes and datasets for NeurIPS21 paper “Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach”
qitianwu/DEEMS-KDD-19
qitianwu/awesome-graph-ood
Papers about out-of-distribution generalization on graphs.
qitianwu/SteinBridging
qitianwu/CaNet
Code for WWW2024 Oral paper "Graph Out-of-Distribution Generalization via Causal Intervention”.
qitianwu/LANTERN-NeurIPS-2019
Source code for NeurIPS 2019 paper "Learning Latent Processes from High-Dimensional Event Sequences via Efficient Sampling""
qitianwu/DIR-GNN
Official code of "Discovering Invariant Rationales for Graph Neural Networks" (2022 ICLR)
qitianwu/ENAS-pytorch
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
qitianwu/awesome-graph-transformer
Papers about graph transformers.
qitianwu/graph-fraud-detection-papers
A curated list of fraud detection papers using graph information or graph neural networks
qitianwu/mgcnn
Multi-Graph Convolutional Neural Networks
qitianwu/mt-dnn
Multi-Task Deep Neural Networks for Natural Language Understanding
qitianwu/Non-Homophily-Benchmarks
[WWW 2021 GLB] New Benchmarks for Learning on Non-Homophilous Graphs
qitianwu/pixel-cnn
Code for the paper "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"
qitianwu/PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
qitianwu/qitianwu
Config files for my GitHub profile.
qitianwu/SafeDrug
Processing files and Code for IJCAI'21 Paper: SafeDrug