Alternatives and similar repositories for DGraph_Experiments:

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

• PonderLY / PC-GNN
  (WWW 2021) Source code of PC-GNN
  ☆104Updated 3 years ago
• MGitHubL / Chinese-Reading-Notes-of-Graph-Learning
  ☆80Updated 5 months ago
• pygod-team / data
  Data repository for PyGOD
  ☆41Updated last year
• NSSSJSS / MHGCN
  KDD'22
  ☆61Updated 2 years ago
• storyandwine / GEARSage-DGraphFin
  ☆24Updated 2 years ago
• Orion-wyc / GAGA
  Fraud Detection, Low Homophily, Label Utilization, Graph Mining
  ☆49Updated last year
• eaglelab-zju / ICDMCup2022-top1
  ☆15Updated 2 years ago
• snap-stanford / CAW
  ☆76Updated 2 years ago
• Shubhranshu-Shekhar / ctdne
  Reproducing the results of the paper Continuous-time Dynamic Network Embeddings
  ☆30Updated 5 years ago
• D10Andy / SAD
  ☆29Updated last year
• ki-ljl / GNNs-for-Node-Classification
  Some GNNs are implemented using PyG for node classification tasks, including: GCN, GraphSAGE, SGC, GAT, R-GCN and HAN (Heterogeneous Grap…
  ☆134Updated last year
• YesLab-Code / HTGNN
  ☆54Updated 3 years ago
• DGraphXinye / DGraphFin_baseline
  This is a repository contaning baseline code for DGraphFin Dataset
  ☆120Updated last year
• liun-online / HeCo
  The source code of HeCo
  ☆163Updated 3 years ago
• cynricfu / MECCH
  MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks
  ☆21Updated last year
• shifengzhao / H2-FDetector
  ☆30Updated 2 years ago
• yule-BUAA / R-HGNN
  codes of R-HGNN model for Heterogeneous Graph Representation Learning
  ☆46Updated 3 years ago
• AtwoodDuan / DGA-GNN
  The official implementation of the DGA-GNN algorithm.
  ☆24Updated 9 months ago
• PKU-DAIR / GAMLP
  Code of GAMLP for Open Graph Benchmark. KDD‘22
  ☆61Updated 2 years ago
• seven-echo / Dynamic-graph-dataset
  Dynamic graph/network dataset for dynamic graph/network embedding/representation
  ☆36Updated 5 years ago
• MGitHubL / Awesome-Temporal-Graph-Learning
  Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).
  ☆69Updated 6 months ago
• zjunet / AMNet
  ☆38Updated 2 years ago
• eaglelab-zju / DGLD
  Deep Graph Outlier Detection
  ☆66Updated last year
• FeiGSSS / DySAT_pytorch
  Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks
  ☆90Updated 3 years ago
• PolarisRisingWar / HGNN_Collection
  A Collection for HGNN (Heterogenous Graph Neural Network), including datasets, algorithms and so on.
  ☆55Updated last year
• KimMeen / Neural-Temporal-Walks
  [NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dyna…
  ☆54Updated 2 years ago
• ckldan520 / DDGCL
  code for "Self-supervised representation learning on dynamic graphs"
  ☆27Updated 3 years ago
• TrustAGI-Lab / SUBLIME
  [WWW'22] Towards Unsupervised Deep Graph Structure Learning
  ☆137Updated 2 years ago
• skx300 / DyHATR
  DyHATR (ECML-PKDD 2020)
  ☆44Updated 4 years ago
• hengruizhang98 / GRAND
  DGL implementation of GRAND(Graph Random Neural Network, NeurIPS 2020)
  ☆18Updated 4 years ago