PeterGriffinJin / EdgeformersView external linksLinks
Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks (ICLR 2023)
☆70Jul 23, 2023Updated 2 years ago
Alternatives and similar repositories for Edgeformers
Users that are interested in Edgeformers are comparing it to the libraries listed below
Sorting:
- Heterformer: Transformer-based Deep Node Representation Learning on Heterogeneous Text-Rich Networks (KDD 2023)☆27Feb 16, 2024Updated last year
- Patton: Language Model Pretraining on Text-rich Networks (ACL 2023 main oral)☆32Feb 10, 2025Updated last year
- Methods of druglikeness prediction☆16Nov 7, 2022Updated 3 years ago
- A Spherical Hidden Markov Model for Semantics-Rich Human Mobility Modeling (AAAI 2018)☆10Oct 23, 2020Updated 5 years ago
- ☆11Dec 27, 2021Updated 4 years ago
- [ICML'24] BAT: 🚀 Boost Class-imbalanced Node Classification with <10 lines of Code | 从拓扑视角出发10行代码改善类别不平衡节点分类☆26Nov 27, 2024Updated last year
- Code for the paper "ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text Embeddings" -- TextGraphs-17 @ ACL 2024☆24Nov 4, 2025Updated 3 months ago
- Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds (NAACL'22)☆18Feb 18, 2025Updated 11 months ago
- GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs☆16Jan 6, 2025Updated last year
- Reasoning Activation in LLMs via Small Model Transfer (NeurIPS 2025)☆21Oct 16, 2025Updated 3 months ago
- The source code used for paper "Effective Seed-Guided Topic Discovery by Integrating Multiple Types of Contexts", in WSDM 2023.☆15May 27, 2023Updated 2 years ago
- A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey" (TKDE)☆979Mar 2, 2025Updated 11 months ago
- Metadata-Induced Contrastive Learning for Zero-Shot Multi-Label Text Classification (WWW'22)☆32Jun 21, 2025Updated 7 months ago
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆92Nov 24, 2023Updated 2 years ago
- Source code for Single-step Retrosynthesis Prediction by Leveraging Commonly Preserved Substructures☆14Jun 9, 2023Updated 2 years ago
- Code for TNNLS paper "Homophily-Enhanced Self-supervision for Graph Structure Learning: Insights and Directions"☆15Feb 27, 2024Updated last year
- This paper is accpeted by WSDM 2023☆13Mar 13, 2023Updated 2 years ago
- Repository for the Statistical Foundation of Machine Learning class (INFO-F-422) - Academic Year 2018-2019☆12Mar 24, 2021Updated 4 years ago
- n awesome&curated list of the advanced graph data-centric (i.e., graph sparsification, graph denoise, graph condensation) learning papers☆17Jun 9, 2025Updated 8 months ago
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆34Jun 11, 2024Updated last year
- [NeurIPS 2024 🔥] TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs☆48Jan 15, 2025Updated last year
- Highly accurate and large-scale collision cross section prediction with graph neural network for compound identification☆17Jun 19, 2023Updated 2 years ago
- Official code for RawNP (ECML-PKDD 2023)☆20Feb 21, 2025Updated 11 months ago
- The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Langua…☆72Oct 28, 2024Updated last year
- Code for ICML 2023 paper "Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs"☆22Sep 24, 2025Updated 4 months ago
- Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…☆258Apr 14, 2025Updated 10 months ago
- Hierarchical Models for long document encoding☆21May 29, 2023Updated 2 years ago
- ☆17Feb 21, 2022Updated 3 years ago
- This is the official repository for NeurIPS 2023 paper "Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First"☆17Oct 27, 2023Updated 2 years ago
- ☆133Apr 3, 2025Updated 10 months ago
- Official github for "Drug-likeness scoring based on unsupervised learning" (Chemical Science)☆24Sep 1, 2025Updated 5 months ago
- Official Implementation of "D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion"☆24Oct 29, 2023Updated 2 years ago
- [ACL'23 Findings] This is the code repo for our ACL'23 Findings paper "ReGen: Zero-Shot Text Classification via Training Data Generation …☆24Sep 8, 2023Updated 2 years ago
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆49Jun 3, 2022Updated 3 years ago
- This is the repository of the NeurIPS 2021 paper "Curriculum Disentangled Recommendation withNoisy Multi-feedback"☆22Feb 17, 2022Updated 3 years ago
- The official source code for "Relational Self-Supervised Learning on Graphs"☆25Sep 6, 2022Updated 3 years ago
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆103Mar 12, 2024Updated last year
- Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization (NeurIPS 21')☆23Dec 9, 2021Updated 4 years ago
- A Deep Learning Framework to Interpret Raw Mass Spectrometry (m/z) Data☆26Jan 21, 2024Updated 2 years ago