baoyujing / NET3Links
☆18Updated 4 years ago
Alternatives and similar repositories for NET3
Users that are interested in NET3 are comparing it to the libraries listed below
Sorting:
- ☆39Updated 3 years ago
- code of DeepGWC: A Deep Graph Wavelet Convolutional Neural Network for Semi-supervised Node Classification☆18Updated last year
- ☆25Updated 4 years ago
- Official PyTorch implementation of "Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics" (https://openreview.net/forum…☆51Updated 5 years ago
- [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".☆83Updated 2 years ago
- LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks☆44Updated last month
- Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)☆48Updated last year
- Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022☆79Updated 2 years ago
- Resources and environment for unsupervised outlier model selection (UOMS)☆24Updated 2 years ago
- Neural Dynamics on Complex Networks☆53Updated 4 years ago
- ☆19Updated 2 years ago
- A TensorFlow implementation of GraphHeat☆16Updated 5 years ago
- ☆14Updated 7 months ago
- This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its pred…☆76Updated 3 years ago
- PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"☆48Updated last year
- Source codes for Time2Graph+ model.☆33Updated 4 years ago
- ☆47Updated 8 months ago
- ☆47Updated 3 years ago
- ☆36Updated 3 years ago
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆49Updated 3 years ago
- ☆44Updated 2 years ago
- [IJCNN 2021] Unified Spatio-Temporal modeling for traffic forecasting using Graph Convolutional Network☆36Updated 10 months ago
- ☆42Updated 3 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 4 years ago
- Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch☆60Updated 4 years ago
- ☆50Updated 2 years ago
- Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.☆34Updated 2 years ago
- Implementation of STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting☆32Updated 4 years ago
- Dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.☆49Updated 4 months ago
- Official Repository of "Graph Mixture Density Networks" (ICML 2021)☆26Updated 2 years ago