Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks | Paper Citation Record

Observation 9976f06d-caab-4a6a-841e-e0059f3d7e8a · inbound

ScaleNet: Scale Invariance Learning in Directed Graphs cites this paper.

ScaleNet: Scale Invariance Learning in Directed Graphs Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 22

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Observation 582e7dd2-93b7-4434-95e0-54381786856c · inbound

Even Sparser Graph Transformers cites this paper.

Even Sparser Graph Transformers Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 27

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Observation 567eab05-4fff-4da1-b2f3-6568f26ec415 · inbound

Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach cites this paper.

Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 30

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Observation e07bf3de-dbe5-4024-8eef-3a568da749ac · inbound

Why Does Dropping Edges Usually Outperform Adding Edges in Graph Contrastive Learning? cites this paper.

Why Does Dropping Edges Usually Outperform Adding Edges in Graph Contrastive Learning? Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 14

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Observation 554d11c7-0d1e-43c3-8bfc-f426bc773433 · inbound

Leveraging Large Language Models for Effective Label-free Node Classification in Text-Attributed Graphs cites this paper.

Leveraging Large Language Models for Effective Label-free Node Classification in Text-Attributed Graphs Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 48

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Observation 579ba51e-0584-4bf5-ae80-af02b1e6843e · inbound

GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning cites this paper.

GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 18

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Observation 20f75fca-15fe-43c1-abcc-4ed5ed3f2a27 · inbound

PyG-SSL: A Graph Self-Supervised Learning Toolkit cites this paper.

PyG-SSL: A Graph Self-Supervised Learning Toolkit Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 80

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Observation 2fbe4f20-179a-4955-a118-a63f5864d1db · inbound

Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport cites this paper.

Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 36

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Observation c2aaeb95-845a-48ec-a593-44fb6f4d0f31 · inbound

Toward Effective Digraph Representation Learning: A Magnetic Adaptive Propagation based Approach cites this paper.

Toward Effective Digraph Representation Learning: A Magnetic Adaptive Propagation based Approach Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 47

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Observation 443d3da0-f574-42ab-acb8-f51ca7dcd123 · inbound

UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs cites this paper.

UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 37

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Observation 0f179666-b68d-462a-bdca-691644839208 · inbound

When Do LLMs Help With Node Classification? A Comprehensive Analysis cites this paper.

When Do LLMs Help With Node Classification? A Comprehensive Analysis Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 10

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Observation 78e301e1-2a1f-4b4a-9cd5-a2de3fbd2800 · inbound

Predict, Cluster, Refine: A Joint Embedding Predictive Self-Supervised Framework for Graph Representation Learning cites this paper.

Predict, Cluster, Refine: A Joint Embedding Predictive Self-Supervised Framework for Graph Representation Learning Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T18:05:41.074964Z

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Observation 97535510-0e0d-495b-a54d-40c8d4c99180 · inbound

Rethinking Link Prediction for Directed Graphs cites this paper.

Rethinking Link Prediction for Directed Graphs Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 2000

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Observation df81117f-8e8f-468a-a2f2-a270cf1211dc · inbound

Effects of Dropout on Performance in Long-range Graph Learning Tasks cites this paper.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 58

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Observation 47b41d5e-2d20-4b77-abcd-a9459529968e · inbound

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention cites this paper.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-16T11:38:59.399829Z

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Observation 84933e97-bd52-4d9e-b735-57d391f486f2 · inbound

GLIP-OOD: Zero-Shot Graph OOD Detection with Graph Foundation Model cites this paper.

GLIP-OOD: Zero-Shot Graph OOD Detection with Graph Foundation Model Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 18

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Observation 2fe270f6-cf80-4e9e-900d-c18854e84296 · inbound

Graph Synthetic Out-of-Distribution Exposure with Large Language Models cites this paper.

Graph Synthetic Out-of-Distribution Exposure with Large Language Models Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 16

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Observation 646e9eee-239d-4f13-bfe0-e4fddd6c586b · inbound

Toward Data-centric Directed Graph Learning: An Entropy-driven Approach cites this paper.

Toward Data-centric Directed Graph Learning: An Entropy-driven Approach Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 2005

Resolution: unresolved; no resolver link, observed 2026-08-16T04:38:35.497921Z

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Observation 33b68b1f-97ea-4a6b-816c-101443da3e8a · inbound

Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data cites this paper.

Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 11

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Observation 70fadb8b-fb60-43f0-9266-17506406ac71 · inbound

InfoNCE is a Free Lunch for Semantically guided Graph Contrastive Learning cites this paper.

InfoNCE is a Free Lunch for Semantically guided Graph Contrastive Learning Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 24

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Observation 06492fde-40be-4efa-8239-fd7bec33f079 · inbound

LLM Enhancers for GNNs: An Analysis from the Perspective of Causal Mechanism Identification cites this paper.

LLM Enhancers for GNNs: An Analysis from the Perspective of Causal Mechanism Identification Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 46

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Observation cbfe3cbc-1ce1-4be9-bf9d-1679f09c3373 · inbound

Negative Metric Learning for Graphs cites this paper.

Negative Metric Learning for Graphs Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 24

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Observation 0821edb3-541e-46df-9aeb-4b09348b9dcf · inbound

Learn Beneficial Noise as Graph Augmentation cites this paper.

Learn Beneficial Noise as Graph Augmentation Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T14:28:34.567236Z

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Observation 8c87cb08-bf5d-4588-924d-202772e2c58d · inbound

Graph Positional Autoencoders as Self-supervised Learners cites this paper.

Graph Positional Autoencoders as Self-supervised Learners Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 36

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Observation 3886432c-2490-4fcc-877b-2f31a5b29601 · inbound

iN2V: Bringing Transductive Node Embeddings to Inductive Graphs cites this paper.

iN2V: Bringing Transductive Node Embeddings to Inductive Graphs Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T10:36:54.534673Z

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Observation e40c20d7-d3b8-4b14-97c7-de3e6cddd1b8 · inbound

Mitigating Degree Bias Adaptively with Hard-to-Learn Nodes in Graph Contrastive Learning cites this paper.

Mitigating Degree Bias Adaptively with Hard-to-Learn Nodes in Graph Contrastive Learning Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 24

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Observation b9da3af4-5fde-4657-9b33-037fc8c269e3 · inbound

EVINET: Towards Open-World Graph Learning via Evidential Reasoning Network cites this paper.

EVINET: Towards Open-World Graph Learning via Evidential Reasoning Network Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 22

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Observation b7a826a9-fff9-4dde-b1a9-f832eb6c0152 · inbound

Delving into Instance-Dependent Label Noise in Graph Data: A Comprehensive Study and Benchmark cites this paper.

Delving into Instance-Dependent Label Noise in Graph Data: A Comprehensive Study and Benchmark Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 42

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Observation 95cfccfa-eab1-4d2b-95da-3e87bf720cb9 · inbound

Toward a Graph Foundation Model: Pre-Training Transformers With Random Walks cites this paper.

Toward a Graph Foundation Model: Pre-Training Transformers With Random Walks Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 55

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Observation a1b68a7a-9cae-47d4-bfdf-aaee03a9cb6c · inbound

Discrepancy-Aware Graph Mask Auto-Encoder cites this paper.

Discrepancy-Aware Graph Mask Auto-Encoder Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T18:40:58.554312Z

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Observation c04b7827-1c74-4765-baa3-85e4e0f1bf79 · inbound

When Noisy Labels Meet Class Imbalance on Graphs: A Graph Augmentation Method with LLM and Pseudo Label cites this paper.

When Noisy Labels Meet Class Imbalance on Graphs: A Graph Augmentation Method with LLM and Pseudo Label Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 20

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Observation 57f5205c-0a85-4baf-ab52-fb09cf8a4643 · inbound

Quantizing Text-attributed Graphs for Semantic-Structural Integration cites this paper.

Quantizing Text-attributed Graphs for Semantic-Structural Integration Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.824411Z

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Observation f52bc730-4656-4f8a-8303-83b748e464a2 · inbound

From Nodes to Narratives: Explaining Graph Neural Networks with LLMs and Graph Context cites this paper.

From Nodes to Narratives: Explaining Graph Neural Networks with LLMs and Graph Context Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T23:31:54.457662Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7d13d513-5a3b-4a29-a10f-5bc804660b9b · inbound

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses cites this paper.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 197

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:56.216787Z

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Observation bf7c9955-b711-45c5-96f0-6a2084db6f42 · inbound

Turning Tabular Foundation Models into Graph Foundation Models cites this paper.

Turning Tabular Foundation Models into Graph Foundation Models Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-05T14:47:53.885634Z

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Observation 251860ae-6cbe-46c7-ba94-81958a84b818 · inbound

GILT: An LLM-Free, Tuning-Free Graph Foundational Model for In-Context Learning cites this paper.

GILT: An LLM-Free, Tuning-Free Graph Foundational Model for In-Context Learning Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T11:30:51.047069Z

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Observation 3f7aaf59-4c08-4e82-937a-cd29482e9cdf · inbound

When LLM Agents Meet Graph Optimization: An Automated Data Quality Improvement Approach cites this paper.

When LLM Agents Meet Graph Optimization: An Automated Data Quality Improvement Approach Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-18T08:46:07.705383Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 06f4439a-3834-4523-85e0-f620260c0f12 · inbound

Toward General Digraph Contrastive Learning: A Dual Spatial Perspective cites this paper.

Toward General Digraph Contrastive Learning: A Dual Spatial Perspective Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 39

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Observation 78aa819f-569c-4731-ba0a-d29c8de01f79 · inbound

Energy-Balanced Hyperspherical Graph Representation Learning via Structural Binding and Entropic Dispersion cites this paper.

Energy-Balanced Hyperspherical Graph Representation Learning via Structural Binding and Entropic Dispersion Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:21:12.135441Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1282ec0f-3e10-4d2c-b3bd-b3177002e708 · inbound

Fixed Aggregation Features Can Rival GNNs cites this paper.

Fixed Aggregation Features Can Rival GNNs Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 2000

Resolution: unresolved; no resolver link, observed 2026-08-03T07:43:53.861189Z

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Observation 9e65ecd7-eaf7-46d7-ae16-2066456f4b4d · inbound

Rethinking Federated Graph Foundation Models: A Graph-Language Alignment-based Approach cites this paper.

Rethinking Federated Graph Foundation Models: A Graph-Language Alignment-based Approach Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-04T06:16:57.728507Z

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Observation d09b3b8b-84c2-4d1d-85c0-65878dbc3a8d · inbound

GP2F: Cross-Domain Graph Prompting with Adaptive Fusion of Pre-trained Graph Neural Networks cites this paper.

GP2F: Cross-Domain Graph Prompting with Adaptive Fusion of Pre-trained Graph Neural Networks Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:35:28.051068Z

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Observation caebab9b-ba05-4752-9146-e647aecee8cc · inbound

Both Topology and Text Matter: Revisiting LLM-guided Out-of-Distribution Detection on Text-attributed Graphs cites this paper.

Both Topology and Text Matter: Revisiting LLM-guided Out-of-Distribution Detection on Text-attributed Graphs Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 23

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Observation 588e436c-eb4f-4130-b2cb-c8a504521124 · inbound

AdvSynGNN: Structure-Adaptive Graph Neural Nets via Adversarial Synthesis and Self-Corrective Propagation cites this paper.

AdvSynGNN: Structure-Adaptive Graph Neural Nets via Adversarial Synthesis and Self-Corrective Propagation Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 77

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T21:31:39.404771Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8faab4c6-92d2-4b06-b320-6620dff9822b · inbound

Beyond One-Size-Fits-All: Adaptive Subgraph Denoising for Zero-Shot Graph Learning with Large Language Models cites this paper.

Beyond One-Size-Fits-All: Adaptive Subgraph Denoising for Zero-Shot Graph Learning with Large Language Models Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T10:31:25.509877Z

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Observation a217ee93-e637-4c0e-a692-0c6ded0aa527 · inbound

Toward a universal foundation model for graph-structured data cites this paper.

Toward a universal foundation model for graph-structured data Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:25:51.998524Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d2ebbfbf-c0b7-4e2f-a4b7-af30ef829d80 · inbound

Neighbourhood Transformer: Switchable Attention for Monophily-Aware Graph Learning cites this paper.

Neighbourhood Transformer: Switchable Attention for Monophily-Aware Graph Learning Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T05:40:58.454333Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 94592973-37b5-4daa-a5f0-56689f84a5bc · inbound

Disentangle-then-Refine: LLM-Guided Decoupling and Structure-Aware Refinement for Graph Contrastive Learning cites this paper.

Disentangle-then-Refine: LLM-Guided Decoupling and Structure-Aware Refinement for Graph Contrastive Learning Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T11:05:08.487784Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 75e8afd5-88bd-49b8-bf75-b1b9fee54835 · inbound

DuConTE: Dual-Granularity Text Encoder with Topology-Constrained Attention for Text-attributed Graphs cites this paper.

DuConTE: Dual-Granularity Text Encoder with Topology-Constrained Attention for Text-attributed Graphs Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T05:51:09.931115Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c00b4cde-db82-4924-ba76-d4e0b08b8cd2 · inbound

Improving Graph Few-shot Learning with Hyperbolic Space and Denoising Diffusion cites this paper.

Improving Graph Few-shot Learning with Hyperbolic Space and Denoising Diffusion Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:41:26.633904Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 77faf7f7-c451-4d45-b57f-d29b9f448d0e · inbound

Revisiting Graph-Tokenizing Large Language Models: A Systematic Evaluation of Graph Token Understanding cites this paper.

Revisiting Graph-Tokenizing Large Language Models: A Systematic Evaluation of Graph Token Understanding Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-12T11:01:31.294877Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0cb28157-1ecc-4b6b-8732-fa8c35401a60 · inbound

UFO: A Unified Flow-Oriented Framework for Robust Continual Graph Learning cites this paper.

UFO: A Unified Flow-Oriented Framework for Robust Continual Graph Learning Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 41

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T05:31:25.368340Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fa288478-6c66-402f-a382-e183142c2fe7 · inbound

S2Aligner: Pair-Efficient and Transferable Pre-Training for Sparse Text-Attributed Graphs cites this paper.

S2Aligner: Pair-Efficient and Transferable Pre-Training for Sparse Text-Attributed Graphs Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T12:53:17.646836Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2d92804a-5eeb-4063-b40e-164802ad10f0 · inbound

S2Aligner: Pair-Efficient and Transferable Pre-Training for Sparse Text-Attributed Graphs cites this paper.

S2Aligner: Pair-Efficient and Transferable Pre-Training for Sparse Text-Attributed Graphs Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T07:59:50.854881Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1acc81a9-0756-40a5-bf26-38aef5a3e1aa · inbound

Fast and Featureless Node Representation Learning with Partial Pairwise Supervision cites this paper.

Fast and Featureless Node Representation Learning with Partial Pairwise Supervision Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T06:43:06.031345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ce7c194f-9a4c-43b3-aa89-e0994fcc4940 · inbound

Graph Transductive Sharpening: Leveraging Unlabeled Predictions in Node Classification cites this paper.

Graph Transductive Sharpening: Leveraging Unlabeled Predictions in Node Classification Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T08:34:05.481817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7f47057d-52d7-41e9-b9ef-b07c26943325 · inbound

Where LLM Annotators Fail: Label-Free Learning on Graphs with LLMs cites this paper.

Where LLM Annotators Fail: Label-Free Learning on Graphs with LLMs Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-06-29T14:33:30.687530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9c9a2a2f-e20e-4790-8495-bfcd37ef675f · inbound

GFFMERGE: Efficient Merging of Graph Neural Force Fields and Beyond cites this paper.

GFFMERGE: Efficient Merging of Graph Neural Force Fields and Beyond Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T02:06:26.659158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6f15d046-b8d8-401f-931b-903c6c519f3b · inbound

Generalizing Graph Foundation Models via Hyperbolic Retrieval-Augmented Generation cites this paper.

Generalizing Graph Foundation Models via Hyperbolic Retrieval-Augmented Generation Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-02T05:16:39.238645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fefefd74-1bb6-494f-bf7f-318e9cf352fd · inbound

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs cites this paper.

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T04:27:37.280545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9e25fed0-a343-46d9-85ad-31304c60c26e · inbound

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs cites this paper.

GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T08:57:47.513194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e3cb08df-f17e-484d-a671-2b4539fd5924 · inbound

Beyond the Golden Teacher: Enhancing Graph Learning through LLM-GNN Co-teaching cites this paper.

Beyond the Golden Teacher: Enhancing Graph Learning through LLM-GNN Co-teaching Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 67

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T09:07:47.674460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cdcbca95-8b43-4a9a-8d5e-3067d9131fb2 · inbound

GraspLLM: Towards Zero-Shot Generalization on Text-Attributed Graphs with LLMs cites this paper.

GraspLLM: Towards Zero-Shot Generalization on Text-Attributed Graphs with LLMs Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 69

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T11:08:03.238106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 51287a9c-aba3-4284-85e0-ce2b94db5617 · inbound

Graph Reduction in Multirelational Networks: A Spreading-Oriented Reduction Benchmark cites this paper.

Graph Reduction in Multirelational Networks: A Spreading-Oriented Reduction Benchmark Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T13:58:21.797178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 675733b6-a5ca-400b-b4da-3e6c8db126a6 · inbound

Boundary Embedding Shaping with Adaptive Contrastive Learning for Graph Structural Disentanglement cites this paper.

Boundary Embedding Shaping with Adaptive Contrastive Learning for Graph Structural Disentanglement Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:29:30.968673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2aa0be4f-659e-44bb-ab61-8727a622508f · inbound

Boundary Embedding Shaping with Adaptive Contrastive Learning for Graph Structural Disentanglement cites this paper.

Boundary Embedding Shaping with Adaptive Contrastive Learning for Graph Structural Disentanglement Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T10:54:00.462812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15470418-8bbc-4812-b640-1c2c3063da44 · inbound

TaLK: Text-attributed Graph Dataset Distillation via Coupling Language Model with Graph-Aware Kernel cites this paper.

TaLK: Text-attributed Graph Dataset Distillation via Coupling Language Model with Graph-Aware Kernel Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 39

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T10:29:44.391064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b4905a43-3ba9-4df1-bd4e-69e69f62f183 · inbound

Convex--Concave Quadratic Spectral Filtering for Graph Neural Networks cites this paper.

Convex--Concave Quadratic Spectral Filtering for Graph Neural Networks Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T16:19:56.409084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c2d434d7-29ec-4772-9bfd-e3afb0b1ed1f · inbound

PromptGNN-sim: Deep Fusion and Alignment of GNN and LLMs for Text-Attributed Graph Learning cites this paper.

PromptGNN-sim: Deep Fusion and Alignment of GNN and LLMs for Text-Attributed Graph Learning Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T08:24:26.885204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2077b1db-091a-4c11-8884-861f1d6001e2 · inbound

X-LogSMask: Expand Transformer for Graph-Structured Data cites this paper.

X-LogSMask: Expand Transformer for Graph-Structured Data Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T01:07:29.732047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 72f0c56e-1aa7-4fd7-a8b2-79ee5de4a263 · inbound

OpenRTAG: A Comprehensive Benchmark for Robust Text-Attributed Graph Learning under Data Quality Degradation cites this paper.

OpenRTAG: A Comprehensive Benchmark for Robust Text-Attributed Graph Learning under Data Quality Degradation Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-01T13:29:57.675045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a4c427c-fea8-447d-8dba-434c0aae292a · inbound

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization cites this paper.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-01T01:52:01.491244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9bb43d7-cdcb-422a-876e-d8a313447b04 · inbound

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes cites this paper.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-12T19:12:02.349788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers