Topic: node-classification Goto Github
Some thing interesting about node-classification
Some thing interesting about node-classification
node-classification,Room Classification on Floor Plan Graphs using Graph Neural Networks
User: abpaudel
Home Page: https://arxiv.org/abs/2108.05947
node-classification,A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
User: benedekrozemberczki
node-classification,A repository of pretty cool datasets that I collected for network science and machine learning research.
User: benedekrozemberczki
node-classification,The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".
User: benedekrozemberczki
node-classification,A sparsity aware implementation of "Biological Network Comparison Using Graphlet Degree Distribution" (Bioinformatics 2007)
User: benedekrozemberczki
node-classification,The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
User: benedekrozemberczki
Home Page: https://arxiv.org/abs/2010.12878
node-classification,A list of data mining and machine learning papers that I implemented in 2019.
User: benedekrozemberczki
node-classification,A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
User: benedekrozemberczki
node-classification,A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
User: benedekrozemberczki
node-classification,A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).
User: benedekrozemberczki
Home Page: https://karateclub.readthedocs.io/
node-classification,A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
User: benedekrozemberczki
Home Page: https://karateclub.readthedocs.io/
node-classification,Pytorch implementation of Relational GCN for node classification
User: berlincho
node-classification,Topological Graph Neural Networks (ICLR 2022)
Organization: borgwardtlab
Home Page: https://openreview.net/pdf?id=oxxUMeFwEHd
node-classification,[ECML-PKDD 2023] Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs
User: cmavro
Home Page: https://arxiv.org/abs/2304.10668
node-classification,[IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"
Organization: cripac-dig
node-classification,Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)
User: cszhangzhen
node-classification,A Capsule Network-based Model for Learning Node Embeddings (CIKM 2020)
User: daiquocnguyen
node-classification,Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)
User: daiquocnguyen
node-classification,From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)
User: daiquocnguyen
node-classification,Source code for EvalNE, a Python library for evaluating Network Embedding methods.
User: dru-mara
Home Page: https://evalne.readthedocs.io/en/latest/
node-classification,[CIKM-2024] Official code for work "ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance"
User: eraseai
Home Page: https://eraseai.github.io/ERASE-page
node-classification,Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)
Organization: gemslab
node-classification,code for the paper "GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?"
Organization: graph-com
node-classification,Source code of NeurIPS 2022 paper “Co-Modality Graph Contrastive Learning for Imbalanced Node Classification”
User: graphprojects
node-classification,Official source code of ICDM2023 paper "Hypergraph Contrastive Learning for Drug Trafficking Community Detection".
User: graphresearcher
node-classification,
User: gulabpatel
node-classification,Implementation of Force2Vec method for ICDM 2020 paper titled "Force2Vec: Parallel force-directed graph embedding"
Organization: hipgraph
node-classification,PyTorch-Geometric Implementation of MarkovGNN method published in Graph Learning@WWW 2022 titled "MarkovGNN: Graph Neural Networks on Markov Diffusion"
Organization: hipgraph
node-classification,CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9240056
User: jhljx
node-classification,GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification (ICLR'22)
User: joonhyung-park
node-classification,DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification
User: junwu6
node-classification,Non-IID Transfer Learning on Graphs
User: junwu6
node-classification,Lifelong Learning of Graph Neural Networks for Open-World Node Classification
User: lgalke
node-classification,Source code for NeurIPS 2020 paper "Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding"
User: llan-ml
node-classification,Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
User: mengliu1998
Home Page: https://arxiv.org/abs/2007.09296
node-classification,Learn Versatile Knowledge Graph Embeddings by Capturing Semantics with MASCHInE
User: nicolas-hbt
node-classification,GripNet: Graph Information Propagation on Supergraph for Heterogeneous Graphs (PatternRecognit, 2023)
User: nyxflower
node-classification,The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"
User: qitianwu
node-classification,The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"
User: qitianwu
node-classification,The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"
User: qitianwu
node-classification,Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs
Organization: snap-stanford
node-classification,The official source code for Task-Equivariant Graph Few-shot Learning (TEG) at KDD 2023.
User: sung-won-kim
node-classification,A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).
User: thiviyant
node-classification,CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
Organization: thudm
Home Page: https://cogdl.ai
node-classification,Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)
User: vuptran
node-classification,
User: wzsong17
node-classification,Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)
User: xiangyue9607
node-classification,A DGL implementation of "Graph Neural Networks with convolutional ARMA filters". (PAMI 2021)
User: xnuohz
node-classification,Bags of Tricks in OGB (node classification) with GCNs.
User: ytchx1999
node-classification,[ICML'24] BAT: 🚀 Boost Class-imbalanced Node Classification with <10 lines of Code | 从拓扑视角出发10行代码改善类别不平衡节点分类
User: zhiningliu1998
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