Alternatives and similar repositories for multilayer_core_decomposition

Users that are interested in multilayer_core_decomposition are comparing it to the libraries listed below

• joint-em / FirmCore
  FirmCore Decomposition of Multilayer Networks
  ☆7Updated 2 years ago
• wenchieh / specgreedy
  Unified Dense Subgraph Detection Algorithms: **Best student DM paper award in ECML-PKDD'20**
  ☆14Updated 11 months ago
• doujiang-zheng / Dynamic-Temporal-Graph-Learning-Reading-List
  Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.
  ☆60Updated last year
• ChengzhiPiao / GEDGNN
  The code repository of paper "Computing Graph Edit Distance via Neural Graph Matching" for PVLDB 2023.
  ☆21Updated last year
• MGitHubL / Awesome-Temporal-Graph-Learning
  Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).
  ☆69Updated 7 months ago
• snap-stanford / roland
  ☆134Updated last year
• emalgorithm / directed-graph-neural-network
  Dir-GNN is a machine learning model that enables learning on directed graphs.
  ☆83Updated last year
• GraphPKU / I2GNN
  official code for I2GNN.
  ☆13Updated 2 years ago
• Leo-Q-316 / ImGAGN
  Imbalanced Network Embedding vi aGenerative Adversarial Graph Networks
  ☆27Updated 3 years ago
• hedongxiao-tju / HOG-GCN
  ☆37Updated 3 years ago
• zaixizhang / ANS-GT
  NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"
  ☆50Updated last year
• Kangfei / LSS
  Released code for [sigmod'21] A learned Sketch for Subgraph Counting
  ☆18Updated 3 years ago
• seven-echo / Dynamic-graph-dataset
  Dynamic graph/network dataset for dynamic graph/network embedding/representation
  ☆36Updated 5 years ago
• asFeng / kergnns
  ☆30Updated 3 years ago
• AnryYang / PANE
  Official Implementation for "Scaling Attributed Network Embedding to Massive Graphs"
  ☆17Updated last year
• GraphPKU / NeuralCommonNeighbor
  ☆45Updated 9 months ago
• SongtaoLiu0823 / LAGNN
  [ICML 2022] Local Augmentation for Graph Neural Networks
  ☆66Updated 11 months ago
• CRIPAC-DIG / DyGCN
  Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"
  ☆38Updated last year
• Graph-COM / Neighborhood-Aware-Temporal-Network
  Yuhong Luo and Pan Li. Neighborhood-aware scalable temporal network representation learning. In Learning on Graphs, 2022.
  ☆27Updated 2 years ago
• snap-stanford / CAW
  ☆76Updated 2 years ago
• TrustAGI-Lab / ANEMONE
  [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".
  ☆49Updated 3 years ago
• zwt233 / Grain
  ☆9Updated 3 years ago
• zyzisastudyreallyhardguy / Graph-Group-Discrimination
  Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…
  ☆55Updated 2 years ago
• flyingdoog / RWM
  Local Community Detection in Multiple Netwrks
  ☆14Updated 2 months ago
• GuillaumeSalhaGalvan / modularity_aware_gae
  Source code from the article "Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction" (Neural Networks, 20…
  ☆17Updated 2 years ago
• luoyuanlab / SHINE
  NeurIPS 2022 paper, SubHypergraph Inductive Neural nEtwork
  ☆17Updated last year
• divelab / LGLP
  ☆20Updated 4 years ago
• muhanzhang / NestedGNN
  ☆57Updated 3 years ago
• qianghuangwhu / benchtemp
  BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks
  ☆20Updated last year
• LUMIA-Group / OrderedGNN
  The official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).
  ☆44Updated last year