https://github.com/siddhant-doshi/Dr-COVID
공식 코드Dr-COVID: Graph Neural Networks for SARS-CoV-2 Drug Repurposing
Papers with Code 아카이브
Link Prediction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 6
- 평가표
- 79
- 보존된 평가 기록
- 497
Link Prediction is a task in graph and network analysis where the goal is to predict missing or future connections between nodes in a network. Given a partially observed network, the goal of link prediction is to infer which links are most likely to be added or missing based on the observed connections and the structure of the network.
<span style="color:grey; opacity: 0.6">( Image credit: Inductive Representation Learning on Large Graphs )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/silencex12138/time-granularity-on-temporal-graphs
공식 코드Exploring Time Granularity on Temporal Graphs for Dynamic Link Prediction in Real-world Networks
https://github.com/simonzhang00/hypergraphsymmetrybreaking
공식 코드Expressive Higher-Order Link Prediction through Hypergraph Symmetry Breaking
https://github.com/sisaman/NPGLM
공식 코드Continuous-Time Relationship Prediction in Dynamic Heterogeneous Information Networks
https://github.com/skojaku/residual2vec
공식 코드https://github.com/skx300/DyHATR
공식 코드https://github.com/sky-fish23/eike
공식 코드Embedding Ontologies via Incorporating Extensional and Intensional Knowledge
https://github.com/snap-research/MLPInit-for-GNNs
공식 코드MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization
https://github.com/snap-research/nodedup
공식 코드https://github.com/snap-research/non-contrastive-link-prediction
공식 코드https://github.com/snap-stanford/ConE
공식 코드Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones
https://github.com/snap-stanford/distance-encoding
공식 코드Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning
https://github.com/snap-stanford/ogb
공식 코드OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs
https://github.com/snap-stanford/roland
공식 코드https://github.com/snap-stanford/snap
공식 코드Inferring Networks of Substitutable and Complementary Products
https://github.com/snudatalab/PULL
공식 코드Accurate Link Prediction for Edge-Incomplete Graphs via PU Learning
https://github.com/sofiperez91/lase
공식 코드https://github.com/solashirai/www-evcbr
공식 코드Event Prediction using Case-Based Reasoning over Knowledge Graphs
https://github.com/soledad921/ATISE
공식 코드Temporal Knowledge Graph Embedding Model based on Additive Time Series Decomposition
https://github.com/soledad921/ATISE/blob/master/README.md
공식 코드TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation
https://github.com/songyyyy/gspt
공식 코드A Pure Transformer Pretraining Framework on Text-attributed Graphs
https://github.com/srijankr/dain
공식 코드Influence-guided Data Augmentation for Neural Tensor Completion
https://github.com/sserranw/abg-nas
공식 코드ABG-NAS: Adaptive Bayesian Genetic Neural Architecture Search for Graph Representation Learning
https://github.com/star4455/graphlp
공식 코드https://github.com/stefanosantaris/DMTKG
공식 코드Distill2Vec: Dynamic Graph Representation Learning with Knowledge Distillation
https://github.com/stefanosantaris/vstreamdrls
공식 코드https://github.com/steve30572/bsg
공식 코드https://github.com/striderdu/spa
공식 코드Search to Pass Messages for Temporal Knowledge Graph Completion
https://github.com/suamin/LowFER
공식 코드https://github.com/suchun-sv/sgdd
공식 코드Does Graph Distillation See Like Vision Dataset Counterpart?
https://github.com/sumsky21/unlink-to-unlearn
공식 코드https://github.com/sunnerzs/seprivgemb
공식 코드Structure-Preference Enabled Graph Embedding Generation under Differential Privacy
https://github.com/svjan5/kg-reeval
공식 코드https://github.com/tailvyuanliang/h2tne
공식 코드$\text{H}^2\text{TNE}$: Temporal Heterogeneous Information Network Embedding in Hyperbolic Spaces
https://github.com/tailvyuanliang/hgwavenet
공식 코드HGWaveNet: A Hyperbolic Graph Neural Network for Temporal Link Prediction
https://github.com/tam1032/dsaa2023-challenge-link-prediction-ds-uit_sat
공식 코드A Text-based Approach For Link Prediction on Wikipedia Articles
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.