zxlearningdeep / BMGCLinks
The source code for "Balanced Multi-Relational Graph Clustering" (BMGC) (Accepted by ACM International Conference on Multimedia)
☆10Updated 9 months ago
Alternatives and similar repositories for BMGC
Users that are interested in BMGC are comparing it to the libraries listed below
Sorting:
- [TNNLS 2023] An official source code for paper "Simple Contrastive Graph Clustering".☆37Updated 9 months ago
- Neighbor Contrastive Learning on Learnable Graph Augmentation☆38Updated last year
- Code for AAAI-2024 paper: Graph Contrastive Invariant Learning from the Causal Perspective☆29Updated last year
- [IJCAI'23] LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity☆17Updated last year
- The implementation for DropMessage.☆38Updated 2 years ago
- ACM MM 2023: Self-contrastive graph diffusion network☆17Updated 2 years ago
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆43Updated 2 years ago
- Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs☆66Updated last year
- [WWW2024 Oral] "Graph Out-of-Distribution Generalization via Causal Intervention”.☆27Updated last year
- TransGNN, SIGIR 2024☆63Updated last year
- ☆10Updated 2 years ago
- [TKDD 2024] An official source code for paper Mixed Graph Contrastive Network for Semi-Supervised Node Classification.☆14Updated 9 months ago
- [NeurIPS'24] The source code for "Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning".☆31Updated 10 months ago
- "GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification" in KDD'23☆31Updated last year
- [ICML 2023] Linkless Link Prediction via Relational Distillation☆24Updated 2 years ago
- ☆19Updated 2 years ago
- CIKM 23 Oral - HoLe: Homophily-enhanced Structure Learning for Graph Clustering☆10Updated last year
- Official implementation for NeurIPS'24 paper "Generative Semi-supervised Graph Anomaly Detection"☆61Updated 4 months ago
- LHGNN: Link Prediction on Latent Heterogeneous Graphs☆10Updated 2 years ago
- ☆50Updated 2 years ago
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 3 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆53Updated 3 years ago
- PyTorch implementation of "Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials."☆19Updated 11 months ago
- ICLR25_Unifying Unsupervised Graph-Level Out-of-Distribution Detection and Anomaly Detection: A Benchmark☆62Updated 3 months ago
- ☆34Updated 2 years ago
- ☆26Updated 2 years ago
- Multi-scale Information Diffusion Prediction with Sequential Hypergraphs☆13Updated last year
- Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning☆49Updated 2 years ago
- A Survey of Learning from Graphs with Heterophily☆154Updated 9 months ago
- Code for "Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization (EAGLE)"☆24Updated 2 years ago