hazdzz / ChebyNet
The PyTorch version of ChebyNet.
☆34Updated last month
Alternatives and similar repositories for ChebyNet:
Users that are interested in ChebyNet are comparing it to the libraries listed below
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆114Updated last year
- A list for GNNs and related works.☆86Updated 4 months ago
- ☆68Updated 2 years ago
- A collection of resources on attention-based graph neural networks☆62Updated last year
- Pytorch implementation of various Graph Neural Networks (GNNs) for graph classification☆101Updated 4 years ago
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆36Updated 8 months ago
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆49Updated last year
- ☆41Updated 3 years ago
- ☆15Updated last year
- [ICML 2022] Local Augmentation for Graph Neural Networks☆66Updated 7 months ago
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆41Updated 5 months ago
- ☆25Updated last year
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆77Updated last month
- Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometri…☆19Updated 2 years ago
- Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch☆56Updated 4 years ago
- This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"☆93Updated last year
- Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".☆53Updated last year
- Official Implementation of AdaGCN (ICLR 2021)☆60Updated 3 years ago
- Code for "Understanding Pooling in Graph Neural Networks" (TNNLS 2022).☆58Updated 2 years ago
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆51Updated last year
- Graph Neural Network, Self-Supervised Learning, Contrastive Learning, RecSys, Transformer Papers Reading Notes.☆37Updated last year
- ☆38Updated last year
- ☆95Updated 3 years ago
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆119Updated 10 months ago
- ☆37Updated 3 years ago
- Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)☆61Updated last year
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆133Updated 2 years ago
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆82Updated 2 months ago
- ☆35Updated 2 years ago