wenchieh / specgreedy
Unified Dense Subgraph Detection Algorithms: **Best student DM paper award in ECML-PKDD'20**
☆14Updated 11 months ago
Alternatives and similar repositories for specgreedy
Users that are interested in specgreedy are comparing it to the libraries listed below
Sorting:
- Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)☆32Updated 3 years ago
- ☆76Updated 2 years ago
- ☆45Updated 9 months ago
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆69Updated 7 months ago
- Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction. KDD2020☆30Updated 4 years ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆55Updated 2 years ago
- Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".☆58Updated 2 years ago
- KDD'22☆61Updated 2 years ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆122Updated 2 years ago
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆116Updated 10 months ago
- Dynamic graph/network dataset for dynamic graph/network embedding/representation☆36Updated 5 years ago
- Data repository for PyGOD☆41Updated last year
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆81Updated 5 months ago
- PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"☆53Updated 2 years ago
- A pytorch implementation of H2GCN raised in the paper "Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Desig…☆35Updated 2 years ago
- Awesome literature on imbalanced learning on graphs☆76Updated 8 months ago
- ☆30Updated 3 years ago
- A Pytorch implementation of Semi-implicit-graph-variational-auto-encoders☆14Updated 5 years ago
- ☆46Updated 2 years ago
- MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks☆21Updated last year
- [ICML 2022] Local Augmentation for Graph Neural Networks☆66Updated 11 months ago
- hypergraph representation learning, graph neural network☆97Updated last year
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆57Updated last year
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆114Updated last month
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆57Updated 4 years ago
- PyTorch implementation of Deep Attention Embedding Graph Clustering (19IJCAI) https://www.ijcai.org/Proceedings/2019/0509.pdf☆113Updated 4 years ago
- ☆47Updated 2 years ago
- Yuhong Luo and Pan Li. Neighborhood-aware scalable temporal network representation learning. In Learning on Graphs, 2022.☆27Updated 2 years ago
- codes of R-HGNN model for Heterogeneous Graph Representation Learning☆46Updated 3 years ago
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆86Updated 6 months ago