fannie1208 / CaNet
[WWW2024 Oral paper] "Graph Out-of-Distribution Generalization via Causal Intervention”.
☆22Updated 3 months ago
Alternatives and similar repositories for CaNet:
Users that are interested in CaNet are comparing it to the libraries listed below
- Code for AAAI-2024 paper: Graph Contrastive Invariant Learning from the Causal Perspective☆23Updated 11 months ago
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 2 years ago
- The implementation for DropMessage.☆36Updated last year
- A collection of papers on Graph Structural Learning (GSL)☆54Updated last year
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆49Updated 2 years ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆54Updated last year
- Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning☆49Updated last year
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆27Updated last year
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆44Updated last year
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆29Updated 8 months ago
- ☆53Updated 3 months ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆76Updated 3 months ago
- Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning☆15Updated 10 months ago
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Updated last year
- [NeurIPS 2023] "Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift" by Yongduo Sui, Qitian Wu, Jiancan Wu, Q…☆16Updated last year
- Ratioanle-aware Graph Contrastive Learning codebase☆40Updated last year
- The source code of SpCo☆33Updated last year
- ☆57Updated 2 years ago
- [KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, X…☆81Updated last year
- PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"☆53Updated last year
- Published papers focusing on graph domain adaptation☆35Updated 2 months ago
- An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))☆32Updated 2 years ago
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆25Updated 6 months ago
- GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs☆14Updated last month
- ☆19Updated 10 months ago
- A curated list of papers on graph transfer learning (GTL).☆16Updated last year
- The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"☆84Updated 2 years ago
- The implementation for DropMessage.☆24Updated last year
- ☆22Updated 4 months ago
- Code for "Graph Structure Learning with Variational Information Bottleneck" published in AAAI 2022☆33Updated 2 years ago