Good Papers

Showing Graphs & LLMs Show all papers

45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026The University of Alabama in HunU Alabama at HuntsvilleGraphs & LLMs

Rethinking Structured Generation: Can Graph-Based Reasoning Resolve Ambiguity?

Ratun Rahman, Atit Pokharel

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026StanfordComputer Science Department, StaSAP SEApple & University of WaStanford University/PinterestGraphs & LLMs

Large-Scale Pretraining unlocks Few-Shot Prediction for Relational Data

Rishabh Ranjan, Vignesh Kothapalli, Harshvardhan Agarwal, Charilaos Kanatsoulis and 4 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026EmoryArgonne National LaboratoryGraphs & LLMs

CONSTRAINER: Promptable Graph-Structured Optimization via Constraint Conditioning

Zeeshan Memon, Mingke Tian, Xinyuan Song, Hongwei Jin and 2 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026Nanjingnanjing universityChina University of Mining TechnU Wisconsin - MadisonPekingGraphs & LLMs

Uncovering Semantic Hierarchies in Text-Attributed Graphs via Variational EM-based LLM–GNN Synergy

Yunhui Liu, Xudong Jin, Qizhuo Xie, Chunhui Zhao and 4 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026Northwestern PolytechnicalNorthwest Polytechnical UniversiNorthwest PolytechnicalGraphs & LLMs

GADMVP: Adaptive Few-Shot Graph-Level Anomaly Detection with Multi-View Structured Prompting

Xiaolin Han, Xiurui Hu, Lingyun Song, Yudai Pan and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026Huazhong University of Science aThe Hong Kong PolytechnicHong Kong University of Science Graphs & LLMs

FedProG: Federated Graph Learning via Server-Side LLM Semantic Bridging and Uncertainty-Aware Distillation

Haitao Wang, Haozhao Wang, Wenchao Xu, Yichen Li and 4 more

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026Indian Institute of Technology, MicrosoftAalto University / IIT BombayIIT BombayMicrosoft Research Lab IndiaGraphs & LLMs

Active Corpus Selection for Training Subgraph Retrievers Using OOD Queries

Pritish Chakraborty, Aditya Singh, Indradyumna Roy, Lokesh N and 7 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026PekingSchool of Computer Science, PekiCUNY Baruch CollegeZhengren QuantGraphs & LLMs

AlphaPROBE: Alpha Mining via principled retriveval and on-graph biased evolution

Taian Guo, Haiyang Shen, Junyu Luo, Binqi Chen and 5 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
71%Highly rated
?Highly ratedVote to see the score
NeurIPS 2026TsinghuaTsinghua University, TsinghuaGraphs & LLMs

A Unified Graph Language Model for Multi-Domain Multi-Task Graph Alignment Instruction Tuning

UniGraphLM proposes a unified graph language model that multi-domain multi-task aligns GNN representations to LLMs via adaptive alignment for cross-domain generalization.

Haibo Chen, Xin Wang, Jiaheng Chao, Ling Feng and 1 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
6/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 6 of 20 reviewers recommend it
lenient 3/5
medium 3/10
strict 0/5
71%Highly rated
?Highly ratedVote to see the score
NeurIPS 2026East China NormalAnt GroupXi'an JiaotongAnt Financial Services GroupGraphs & LLMs

Relation-Aware Graph Foundation Model

REEF proposes relation tokens as graph foundation model units and uses hypernetworks to adapt aggregators and classifiers, outperforming existing methods in pre-training and transfer learning.

Jianxiang Yu, Jiapeng Zhu, Yibo Zhao, HAO QIAN and 3 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
7/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 7 of 20 reviewers recommend it
lenient 4/5
medium 3/10
strict 0/5
91%Must read
?Must readVote to see the score
NeurIPS 2026Hong Kong University of Science The Hong Kong University of ScieWeBank AI LabGraphs & LLMs

Beyond the Golden Teacher: Enhancing Graph Learning through LLM-GNN Co-teaching

LLM-GNN Co-Teaching replaces golden-teacher design with bidirectional pseudo-label exchange and trajectory-based preference optimization, boosting few-shot graph accuracy by up to 7.86%.

Zhuoyi Peng, Hanlin Gu, Lixin Fan, Yi Yang

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet
18/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 18 of 20 reviewers recommend it
lenient 5/5
medium 10/10
strict 3/5