Graph Ranking
4 papers with code • 4 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Graph Ranking
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ZINC
Latest papers with no code
Advanced Academic Team Worker Recommendation Models
In this work, we propose a new task: academic team worker recommendation: with a given status: student, assistant professor or prime professor, research interests and specific task, we can recommend an academic team formed as (prime professor, assistant professor, student).
Graph Ranking Contrastive Learning: A Extremely Simple yet Efficient Method
Thus, we propose GraphRank, a simple yet efficient graph contrastive learning method that addresses the problem of false negative samples by redefining the concept of negative samples to a certain extent, thereby avoiding the issue of false negative samples.
ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery
In computer-aided drug discovery (CADD), virtual screening (VS) is used for identifying the drug candidates that are most likely to bind to a molecular target in a large library of compounds.
A Method of Query Graph Reranking for Knowledge Base Question Answering
This paper presents a novel reranking method to better choose the optimal query graph, a sub-graph of knowledge graph, to retrieve the answer for an input question in Knowledge Base Question Answering (KBQA).
GUSUM: Graph-Based Unsupervised Summarization using Sentence-BERT and Sentence Features
In this way, we define the edges of a graph where semantic similarities are represented.
Addressing Time Bias in Bipartite Graph Ranking for Important Node Identification
The problem of ranking the nodes in bipartite networks is valuable for many real-world applications.
Temporal Coherent and Graph Optimized Manifold Ranking for Visual Tracking
To address this problem, we propose a novel unified temporal coherence and graph optimized ranking model for weighted patch representation in visual tracking problem.
Graph Centrality Measures for Boosting Popularity-Based Entity Linking
Many Entity Linking systems use collective graph-based methods to disambiguate the entity mentions within a document.
SCIR-QA at SemEval-2017 Task 3: CNN Model Based on Similar and Dissimilar Information between Keywords for Question Similarity
We describe a method of calculating the similarity of questions in community QA.
A Graph Framework for Multimodal Medical Information Processing
This paper presents a framework for retrieving, analyzing, and storing medical information as a multilayer graph, an abstract format suitable for data fusion and further processing.
