MIRALab-USTC / GraphAKDLinks
The code of paper Compressing Deep Graph Neural Networks via Adversarial Knowledge Distillation. Huarui He, Jie Wang, Zhanqiu Zhang, Feng Wu. SIGKDD 2022.
☆41Updated 3 years ago
Alternatives and similar repositories for GraphAKD
Users that are interested in GraphAKD are comparing it to the libraries listed below
Sorting:
- Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"☆59Updated 4 years ago
- Graph based Knowledge Distillation: A Survey☆68Updated 2 years ago
- Some GNNs are implemented using PyG for node classification tasks, including: GCN, GraphSAGE, SGC, GAT, R-GCN and HAN (Heterogeneous Grap…☆140Updated 2 years ago
- A pytorch implementation of graph transformer for node classification☆33Updated 2 years ago
- [ICML2022] G-Mixup: Graph Data Augmentation for Graph Classification☆105Updated last year
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆179Updated last year
- ☆97Updated 4 years ago
- The implementation for DropMessage.☆37Updated 2 years ago
- Code for paper "Mixup for Node and Graph Classification", WWW 2021☆47Updated 4 years ago
- The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"☆92Updated 2 years ago
- Pytorch implementation of Relational GCN for node classification☆76Updated 2 years ago
- A paper list of research about social knowledge graph☆67Updated 2 years ago
- A repository contains a collection of resources and papers on Imbalance Learning On Graphs☆92Updated 4 months ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆143Updated 2 years ago
- The official code of WWW2021 paper: Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation …☆77Updated 4 years ago
- ☆53Updated 4 years ago
- An index of algorithms for few-shot learning/meta-learning on graphs☆155Updated 5 months ago
- ☆119Updated 2 years ago
- Pytorch Implementation of WSDM 2022 -- Graph Few-shot Class-incremental Learning☆24Updated 3 years ago
- Offical pytorch implementation of proposed NRGNN and Compared Methods in "NRGNN: Learning a Label Noise-Resistant Graph Neural Network on…☆44Updated 3 years ago
- [ICML 2023] Linkless Link Prediction via Relational Distillation☆24Updated 2 years ago
- Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs☆137Updated 2 years ago
- "GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification" in KDD'23☆31Updated last year
- The source code of SpCo☆35Updated 2 years ago
- Adversarial Graph Augmentation to Improve Graph Contrastive Learning☆90Updated 3 years ago
- Graph Few-Shot Class-Incremental Learning via Prototype Representation☆21Updated 3 years ago
- Papers about out-of-distribution generalization on graphs.☆167Updated 2 years ago
- Heterformer: Transformer-based Deep Node Representation Learning on Heterogeneous Text-Rich Networks (KDD 2023)☆26Updated last year
- This is the official code release of the following paper: Hao Dong et al., Temporal Inductive Path Neural Network for Temporal Knowledge …☆28Updated last year
- NeurIPS 2022 - SHGP☆31Updated 2 years ago