Alternatives and similar repositories for SIEG_OGB

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

• yule-BUAA / R-HGNN
  codes of R-HGNN model for Heterogeneous Graph Representation Learning
  ☆46Updated 3 years ago
• Graph-COM / SUREL_Plus
  [VLDB'23] SUREL+ is a novel set-based computation framework for scalable subgraph-based graph representation learning.
  ☆17Updated last month
• melifluos / subgraph-sketching
  code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486
  ☆96Updated last year
• LechengKong / gdgnn
  ☆19Updated 2 years ago
• snap-stanford / CAW
  ☆76Updated 2 years ago
• DM2-ND / CFLP
  Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction
  ☆68Updated 2 years ago
• LARS-research / PAS-OGB
  CIKM 2021: Pooling Architecture Search for Graph Classification
  ☆20Updated 2 years ago
• GraphPKU / NeuralCommonNeighbor
  ☆46Updated 9 months ago
• zwt233 / GAMLP
  ☆18Updated 3 years ago
• seven-echo / dynamic-graph-embedding-method
  dynamic graph/network embedding/representation methods
  ☆17Updated 5 years ago
• BUPT-GAMMA / PTHGNN
  source code of KDD 2021 paper "Pre-training on Large-Scale Heterogeneous Graph".
  ☆22Updated 3 years ago
• PKU-DAIR / GAMLP
  Code of GAMLP for Open Graph Benchmark. KDD‘22
  ☆62Updated 2 years ago
• LingxiaoShawn / GNNAsKernel
  Source code for From Stars to Subgraphs (ICLR 2022)
  ☆70Updated last year
• muhanzhang / NestedGNN
  ☆57Updated 3 years ago
• facebookresearch / NARS
  Scalable Graph Neural Networks for Heterogeneous Graphs
  ☆72Updated 4 years ago
• Graph-COM / SUREL
  [VLDB'22] SUREL is a novel walk-based computation framework for efficient subgraph-based graph representation learning.
  ☆19Updated last month
• lbn187 / DLGNN
  ☆16Updated 4 years ago
• 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
• 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
• AndyJZhao / GLEM
  ☆128Updated 2 months ago
• blacker521 / awesome-graph-structure-learning
  A collection of research papers related to graph structure learning(GSL).
  ☆16Updated 2 years ago
• MingChen-Sun / GPPT
  ☆60Updated 2 years ago
• Namkyeong / BGRL_Pytorch
  Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"
  ☆80Updated 3 years ago
• nerdslab / bgrl
  PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)
  ☆81Updated last year
• GraphFramEx / graphframex
  GraphFramEx: a systematic evaluation framework for explainability methods on GNNs
  ☆44Updated last year
• KiddoZhu / NBFNet-PyG
  PyG re-implementation of Neural Bellman-Ford Networks (NeurIPS 2021)
  ☆68Updated 2 years ago
• RingBDStack / SUGAR
  Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"
  ☆57Updated 4 years ago
• AnoushkaVyas / GraphZoo
  Facilitating learning, using, and designing graph processing pipelines/models systematically.
  ☆26Updated 2 years ago
• yzjiao / Subg-Con
  Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"
  ☆45Updated 3 years ago
• ShaharGottlieb / GNNExplainer_DGL
  GNNExplainer implementation using DGL
  ☆31Updated 4 years ago