XiaobinHong / LAD-GNN
The source code of LAD-GNN.
☆10Updated 6 months ago
Related projects ⓘ
Alternatives and complementary repositories for LAD-GNN
- Graph Neural Network, Self-Supervised Learning, Contrastive Learning, RecSys, Transformer Papers Reading Notes.☆36Updated last year
- Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs☆56Updated last month
- PyGDA is a Python library for Graph Domain Adaptation☆17Updated 3 months ago
- A Survey of Learning from Graphs with Heterophily☆89Updated last month
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆74Updated this week
- A collection of papers on Graph Structural Learning (GSL)☆52Updated 10 months ago
- Graph based Knowledge Distillation: A Survey☆59Updated last year
- LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity☆16Updated 2 weeks ago
- ☆44Updated last year
- TransGNN, SIGIR 2024☆37Updated 4 months ago
- The code of "Attribute and Structure preserving Graph Contrastive Learning" (AAAI 2023 oral)☆20Updated 6 months ago
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆50Updated 11 months ago
- A repository contains a collection of resources and papers on Imbalance Learning On Graphs☆85Updated 2 months ago
- Neighbor Contrastive Learning on Learnable Graph Augmentation☆30Updated 5 months ago
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆43Updated last year
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆26Updated 2 years ago
- ☆15Updated last year
- Unifying Unsupervised Graph-Level Out-of-Distribution Detection and Anomaly Detection: A Benchmark☆41Updated last month
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆99Updated 5 months ago
- ☆13Updated 11 months ago
- ☆45Updated 2 years ago
- [NeurIPS 2023] The official implementation of "Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition…☆12Updated 5 months ago
- ☆50Updated last week
- ☆21Updated 2 months ago
- ☆15Updated last year
- Source code and dataset of the paper "Efficient Heterogeneous Graph Learning via Random Projection"☆88Updated 2 months ago
- This paper studies the problem of cross-network node classification to overcome the insufficiency of labeled data in a single network. It…☆24Updated 2 years ago
- ☆30Updated last year
- Code for AAAI-2024 paper: Graph Contrastive Invariant Learning from the Causal Perspective☆23Updated 8 months ago