joint-em / FirmCore

Related projects ⓘ

Alternatives and complementary repositories for FirmCore

• egalimberti / multilayer_core_decomposition
  Core Decomposition in Multilayer Networks: Theory, Algorithms, and Applications
  ☆11Updated 5 years ago
• wenchieh / specgreedy
  Unified Dense Subgraph Detection Algorithms: **Best student DM paper award in ECML-PKDD'20**
  ☆12Updated 6 months ago
• zhengwang100 / ogc_ggcm
  Code for OGC and GGCM
  ☆12Updated 2 months ago
• PKU-DAIR / GAMLP
  Code of GAMLP for Open Graph Benchmark. KDD‘22
  ☆59Updated 2 years ago
• DongqiFu / L-MEGA
  Local Motif Clustering on Time-Evolving Graphs, KDD 2020
  ☆10Updated 2 years ago
• zhao-tong / Graph-Anomaly-Loss
  TNNLS: A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning; CIKM'20: Error-bounded Graph Anomaly …
  ☆40Updated last year
• PKU-DAIR / SGL
  A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)
  ☆144Updated 6 months ago
• Oceanusity / awesome-gnns-on-large-scale-graphs
  ☆136Updated last year
• seven-echo / Dynamic-graph-dataset
  Dynamic graph/network dataset for dynamic graph/network embedding/representation
  ☆32Updated 4 years ago
• amazon-science / tgl
  ☆192Updated 10 months ago
• MGitHubL / Awesome-Temporal-Graph-Learning
  Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).
  ☆52Updated last month
• gdmnl / SCARA-PPR
  The original code for SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization (VLDB 2022) and Scalable Decoupling Graph …
  ☆13Updated 8 months ago
• Xtra-Computing / ConsisGAD
  ☆20Updated 8 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.
  ☆55Updated last year
• Kangfei / LSS
  Released code for [sigmod'21] A learned Sketch for Subgraph Counting
  ☆18Updated 3 years ago
• zexihuang / random-walk-embedding
  A Broader Picture of Random-walk Based Graph Embedding
  ☆29Updated 3 years ago
• squareRoot3 / GADBench
  "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023
  ☆99Updated 4 months ago
• kaize0409 / GCN_AnomalyDetection_pytorch
  PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)
  ☆70Updated 3 years ago
• ChengzhiPiao / GEDGNN
  The code repository of paper "Computing Graph Edit Distance via Neural Graph Matching" for PVLDB 2023.
  ☆16Updated last year
• CUAI / Non-Homophily-Large-Scale
  [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
  ☆119Updated 2 years ago
• RapidsAtHKUST / ContinuousSubgraphMatching
  Source code and datasets of "An In-Depth Study of Continuous Subgraph Matching", accepted by VLDB'22 - By Xibo Sun, Dr. Shixuan Sun, Prof…
  ☆42Updated last year
• HKUST-KnowComp / NeuralSubgraphCounting
  Source Code for KDD 2020 paper "Neural Subgraph Isomorphism Counting"
  ☆52Updated 3 months ago
• yule-BUAA / DyGLib
  A Library for Dynamic Graph Learning (NeurIPS 2023)
  ☆190Updated last year
• snap-stanford / roland
  ☆127Updated last year
• snap-stanford / CAW
  ☆75Updated 2 years ago
• alge24 / DyGNN
  ☆51Updated 4 years ago
• SongtaoLiu0823 / LAGNN
  [ICML 2022] Local Augmentation for Graph Neural Networks
  ☆66Updated 5 months ago
• ICT-GIMLab / SeHGNN
  ☆99Updated last year
• qtguo / subsim
  ☆10Updated 4 years ago
• szzhang17 / Scaling-Up-Graph-Neural-Networks-Via-Graph-Coarsening
  Code for the KDD 2021 paper "Scaling Up Graph Neural Networks Via Graph Coarsening"
  ☆25Updated 5 months ago