avishkarsaha / learning-adaptive-neighborhoods-for-gnnsLinks
Official PyTorch code for ICCV 2023 paper 'Learning Adaptive Neighborhoods for Graph Neural Networks'.
☆20Updated last year
Alternatives and similar repositories for learning-adaptive-neighborhoods-for-gnns
Users that are interested in learning-adaptive-neighborhoods-for-gnns are comparing it to the libraries listed below
Sorting:
- Implementation of GCKM in our paper: Graph Convolutional Kernel Machine versus Graph Convolutional Networks, NeurIPS 2023.☆11Updated last year
- Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs☆63Updated 11 months ago
- ☆36Updated 6 months ago
- [CIKM2023] GiGaMA: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction☆17Updated 2 years ago
- Implementation of GraphKan with torch geometrics and its application on signal classification☆66Updated last year
- PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"☆41Updated 2 years ago
- This paper studies the problem of cross-network node classification to overcome the insufficiency of labeled data in a single network. It…☆25Updated 3 years ago
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆48Updated last year
- The source code of LAD-GNN.☆18Updated last year
- StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs☆24Updated last year
- source code of AAAI 2024 paper "Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization".☆17Updated last year
- ☆15Updated last year
- ☆39Updated 4 years ago
- Code for TNNLS paper "Beyond Homophily and Homogeneity Assumption: Relation-based Frequency Adaptive Graph Neural Networks"☆14Updated last year
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆63Updated last year
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆86Updated 10 months ago
- The codes of Hpyergraph Transformer Nerual Networks.☆21Updated last year
- Code for IJCAI'24 paper: Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders☆12Updated last year
- Code for AAAI-2024 paper: Graph Contrastive Invariant Learning from the Causal Perspective☆28Updated last year
- [ICML 2022] Local Augmentation for Graph Neural Networks☆65Updated last year
- [IJCAI'23] LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity☆17Updated 11 months ago
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆52Updated last year
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆115Updated 6 months ago
- A collection of resources on attention-based graph neural networks☆80Updated last year
- Graph based Knowledge Distillation: A Survey☆68Updated 2 years ago
- ☆20Updated 2 years ago
- SpoT-Mamba: Learning Long-Range Dependency on Spatio-Temporal Graphs with Selective State Spaces (To appear in Spatio-Temporal Reasoning …☆43Updated 9 months ago
- Code for IJCAI'24 paper: Gradformer: Graph Transformer with Exponential Decay☆48Updated 10 months ago
- ACM MM 2023: Self-contrastive graph diffusion network☆18Updated 2 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆142Updated 2 years ago