kayzliu / godm
Data Augmentation for Supervised Graph Outlier Detection with Latent Diffusion Models
☆10Updated last year
Alternatives and similar repositories for godm:
Users that are interested in godm are comparing it to the libraries listed below
- The Open Source Code For ICML 2023 Paper "Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-pron…☆15Updated last year
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆44Updated last year
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆49Updated 2 years ago
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆36Updated last year
- A collection of papers on Graph Structural Learning (GSL)☆54Updated last year
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆76Updated 3 months ago
- Unifying Unsupervised Graph-Level Out-of-Distribution Detection and Anomaly Detection: A Benchmark☆45Updated 4 months ago
- The code of "Attribute and Structure preserving Graph Contrastive Learning" (AAAI 2023 oral)☆20Updated 8 months ago
- ☆16Updated last month
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆42Updated 2 years ago
- Neighbor Contrastive Learning on Learnable Graph Augmentation☆34Updated 7 months ago
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆28Updated 3 months ago
- A curated list of papers on graph transfer learning (GTL).☆16Updated last year
- [NeurIPS 2023] The official implementation of "Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition…☆12Updated 7 months ago
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆107Updated last year
- PyTorch Implementation for "Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning" (AAAI2023)☆23Updated last week
- A pytorch implementation of H2GCN raised in the paper "Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Desig…☆34Updated 2 years ago
- [Neurips 2024] Disentangled Graph Homophily☆21Updated last month
- A Survey of Learning from Graphs with Heterophily☆118Updated last month
- PyTorch implementation of "PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters"☆13Updated 11 months ago
- ☆16Updated 4 months ago
- Benchmark☆89Updated 10 months ago
- ☆22Updated 11 months ago
- Code for paper "Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation" (TKDE 2023)☆13Updated last month
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆39Updated 2 months ago
- PyGDA is a Python library for Graph Domain Adaptation☆23Updated 2 months ago
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆25Updated 6 months ago
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆21Updated last year
- The official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).☆42Updated 11 months ago
- Code for TNNLS paper "Homophily-Enhanced Self-supervision for Graph Structure Learning: Insights and Directions"☆14Updated 11 months ago