Alternatives and similar repositories for graph_star:

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

• bkj / pytorch-graphsage
  Representation learning on large graphs using stochastic graph convolutions.
  ☆138Updated 6 years ago
• benedekrozemberczki / AttentionWalk
  A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
  ☆324Updated 2 years ago
• masakicktashiro / rgcn_pytorch_implementation
  ☆61Updated 4 years ago
• cheungdaven / QuatE
  Pytorch implementation of Quaternion Knowledge Graph Embeddings.
  ☆108Updated 4 years ago
• ibalazevic / multirelational-poincare
  Multi-relational Poincaré Graph Embeddings
  ☆158Updated 5 years ago
• jcyk / gtos
  Code for AAAI2020 paper "Graph Transformer for Graph-to-Sequence Learning"
  ☆190Updated 7 months ago
• daiquocnguyen / ConvKB
  A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network (NAACL 2018) (Pytorch and Tensorflow)
  ☆204Updated 3 years ago
• XinyiZ001 / CapsGNN
  Tensorflow implementation of Capsule Graph Neural Network
  ☆75Updated 3 years ago
• benedekrozemberczki / SEAL-CI
  A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
  ☆210Updated 2 years ago
• THUDM / Graph-Reading-Group
  Daily reading group on graphs at KEG
  ☆44Updated 5 years ago
• samihaija / mixhop
  Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…
  ☆123Updated 5 years ago
• divelab / lgcn
  ☆136Updated 4 years ago
• huangwb / AS-GCN
  tensorflow-as-gcn
  ☆92Updated 5 years ago
• daiquocnguyen / CapsE
  A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization (NAACL 2019)
  ☆144Updated 3 years ago
• icoxfog417 / graph-convolution-nlp
  Graph Convolution Network for NLP
  ☆212Updated last year
• rstriv / Know-Evolve
  Implementation code for ICML '17 paper "Deep Temporal Reasoning for Dynamic Knowledge Graphs"
  ☆110Updated 6 years ago
• nju-websoft / RSN
  Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs, ICML 2019
  ☆100Updated 5 years ago
• Mehran-k / SimplE
  SimplE Embedding for Link Prediction in Knowledge Graphs
  ☆144Updated 5 years ago
• thu-ml / stochastic_gcn
  Stochastic training of graph convolutional networks
  ☆84Updated 2 years ago
• williamleif / graphqembed
  Learning to query complex networks
  ☆116Updated 9 months ago
• hwwang55 / GCN-LPA
  A tensorflow implementation of GCN-LPA
  ☆99Updated 5 years ago
• GentleZhu / HEER
  Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks(KDD'18)
  ☆64Updated 6 years ago
• cai-lw / KBGAN
  Code for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071
  ☆213Updated 6 years ago
• GTmac / HARP
  Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"
  ☆116Updated last year
• rootlu / RHINE
  Source code for AAAI 2019 paper "Relation Structure-Aware Heterogeneous Information Network Embedding"
  ☆55Updated 4 years ago
• malllabiisc / WordGCN
  ACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks
  ☆291Updated last year
• HongyangGao / hConv-gPool-Net
  TensorFlow implementation of Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations (WWW19)
  ☆27Updated 5 years ago
• syxu828 / Crosslingula-KG-Matching
  This is the code for ACL paper "Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network"
  ☆109Updated 5 years ago
• mengliu1998 / DeeperGNN
  Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
  ☆155Updated 2 years ago
• limaosen0 / Variational-Graph-Auto-Encoders
  This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.
  ☆75Updated 6 years ago