LirongWu / RFA-GNN
Code for TNNLS paper "Beyond Homophily and Homogeneity Assumption: Relation-based Frequency Adaptive Graph Neural Networks"
☆14Updated last year
Alternatives and similar repositories for RFA-GNN:
Users that are interested in RFA-GNN are comparing it to the libraries listed below
- Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometri…☆22Updated 2 years ago
- [Accepted by TNNLS] Source Code for Relational Redundancy-Free Graph Clustering☆10Updated last year
- Code for TNNLS paper "Homophily-Enhanced Self-supervision for Graph Structure Learning: Insights and Directions"☆14Updated last year
- Code for AAAI-2024 paper: Graph Contrastive Invariant Learning from the Causal Perspective☆24Updated last year
- Neighbor Contrastive Learning on Learnable Graph Augmentation☆36Updated 9 months ago
- Code for GBK-GNN (paper accepted by WWW2022)☆16Updated 2 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆52Updated 2 years ago
- The official source code for "Class Label-aware Graph Anomaly Detection", accepted at CIKM 2023.☆16Updated last year
- [TNNLS 2023] An official source code for paper "Simple Contrastive Graph Clustering".☆33Updated last month
- Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs☆58Updated 6 months ago
- The codes of Hpyergraph Transformer Nerual Networks.☆20Updated 10 months ago
- The code for "SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization"☆11Updated 2 years ago
- [IJCAI'23] LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity☆17Updated 5 months ago
- IJCAI 2022-Initializing Then Refining: A Simple Graph Attribute Imputation Network☆13Updated last year
- ☆16Updated last year
- [KDD 2024] Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective☆15Updated 9 months ago
- ☆14Updated last year
- [NeurIPS 2024] State Space Models on Temporal Graphs: A First-Principles Study☆14Updated 3 months ago
- Wiener Graph Deconvolutional Network Improves Self-Supervised Learning in AAAI 2023☆18Updated last year
- ☆18Updated 11 months ago
- Unified Graph Transformer (UGT) is a novel Graph Transformer model specialised in preserving both local and global graph structures and d…☆27Updated this week
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆45Updated 8 months ago
- The official source code for HyGCL-AdT that is published to WWW 24.☆10Updated last year
- Official Code: TheWebConf 2022 Compact Graph Structure Learning via Mutual Information Compression☆24Updated last year
- The source code for Adaptive Kernel Graph Neural Network at AAAI2022☆14Updated 3 years ago
- The code repository of "Towards Deep Attention in Graph Neural Networks: Problems and Remedies," published in ICML 2023.☆28Updated last week
- [Neurips 2024] Disentangled Graph Homophily☆23Updated 2 months ago
- ☆18Updated 2 years ago
- [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…☆59Updated 2 years ago
- The Open Source Code For ICML 2023 Paper "Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-pron…☆15Updated last year