BUPT-GAMMA / AM-GCNLinks
KDD 2020: AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
☆10Updated 4 years ago
Alternatives and similar repositories for AM-GCN
Users that are interested in AM-GCN are comparing it to the libraries listed below
Sorting:
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆65Updated last year
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆58Updated 4 years ago
- Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"☆59Updated 4 years ago
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆117Updated 2 years ago
- KDD'22☆64Updated 2 years ago
- ☆77Updated 4 years ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆66Updated last year
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆87Updated 8 months ago
- Official Implementation of AdaGCN (ICLR 2021)☆62Updated 3 years ago
- [ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Yo…☆113Updated 10 months ago
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆33Updated 3 years ago
- [WWW'21] Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks☆45Updated 3 years ago
- HDGI code☆62Updated 5 years ago
- [WWW 2022] "A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆17Updated 3 years ago
- The source code of HeCo☆166Updated 3 years ago
- The code of Graph Attention Networks for Cora, Citeseer, Pubmed and PPI☆35Updated 6 years ago
- PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"☆56Updated 2 years ago
- [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…☆60Updated 2 years ago
- ☆97Updated 4 years ago
- [PAKDD 2021] Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning☆34Updated 3 years ago
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆52Updated last year
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 2 years ago
- Source code of "WWW21 - Heterogeneous Graph Neural Network via Attribute Completion"☆35Updated 3 years ago
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆116Updated 3 months ago
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"☆81Updated 3 years ago
- Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484☆68Updated last year
- Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)☆54Updated 2 years ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆55Updated 2 years ago
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆92Updated 3 years ago
- ☆116Updated last year