HKUST-KnowComp / DummyNode4GraphLearning
Source Code for ICML 2022 paper "Boosting Graph Structure Learning with Dummy Nodes"
☆19Updated last year
Alternatives and similar repositories for DummyNode4GraphLearning:
Users that are interested in DummyNode4GraphLearning are comparing it to the libraries listed below
- Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization (NeurIPS 21')☆23Updated 3 years ago
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆36Updated 3 years ago
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆56Updated last year
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆31Updated 3 years ago
- [IJCAI 2021] A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning".☆40Updated 2 years ago
- ☆20Updated 2 years ago
- Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem☆18Updated 3 years ago
- Imbalanced Network Embedding vi aGenerative Adversarial Graph Networks☆27Updated 3 years ago
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Updated last year
- Newton–Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems☆10Updated last year
- "HomoGCL: Rethinking Homophily in Graph Contrastive Learning" in KDD'23☆12Updated last year
- Code and dataset for paper "GRAND+: Scalable Graph Random Neural Networks"☆33Updated 3 years ago
- The pytorch implementation of ClusterSCL (WWW2022).☆15Updated last year
- Official repository for NeurIPS'23 paper: GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation☆16Updated last year
- Variational Graph Convolutional Networks☆22Updated 4 years ago
- Source code of NeurIPS 2021 paper “Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media”☆11Updated 3 years ago
- ☆56Updated 3 years ago
- ☆13Updated 3 years ago
- source code of KDD 2021 paper "Pre-training on Large-Scale Heterogeneous Graph".☆22Updated 3 years ago
- ☆21Updated last year
- [VLDB'22] SUREL is a novel walk-based computation framework for efficient subgraph-based graph representation learning.☆19Updated 2 years ago
- Ratioanle-aware Graph Contrastive Learning codebase☆40Updated last year
- Lifelong Learning of Graph Neural Networks for Open-World Node Classification☆29Updated last year
- ☆19Updated 2 years ago
- Graph Recurrent Networks with Attributed Random Walks☆28Updated last year
- This is the code of paper: Robust Mid-Pass Filtering Graph Convolutional Networks.(paper accepted by WWW2023)☆13Updated 2 years ago
- Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"☆17Updated 2 years ago
- Graph Structured Neural Network☆39Updated 2 years ago
- The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)☆45Updated 4 years ago
- ☆18Updated 2 years ago